2020 / 9 / 10
| Date | Title | Links |
|---|---|---|
| 2020-09-09 | Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games | Abstract | PDF |
| 2020-09-09 | Impact of News on the Commodity Market: Dataset and Results | Abstract | PDF |
| 2020-09-08 | Quantifying the Causal Effects of Conversational Tendencies | Abstract | PDF |
| 2020-09-08 | Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care | Abstract | PDF |
| 2020-09-07 | Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data | Abstract | PDF |
| 2020-09-07 | Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis | Abstract | PDF |
| 2020-09-07 | Active Learning of Causal Structures with Deep Reinforcement Learning | Abstract | PDF |
| 2020-09-06 | Discovering Reliable Causal Rules | Abstract | PDF |
| 2020-09-06 | Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality | Abstract | PDF |
| 2020-09-06 | Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback | Abstract | PDF |
| 2020-06-22 | A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model | Abstract | PDF |
| 2020-06-22 | Provably Efficient Causal Reinforcement Learning with Confounded Observational Data | Abstract | PDF |
| 2020-06-22 | ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion | Abstract | PDF |
| 2020-06-22 | A polynomial-time algorithm for learning nonparametric causal graphs | Abstract | PDF |
| 2020-06-20 | Counterfactually Guided Policy Transfer in Clinical Settings | Abstract | PDF |
| 2020-06-20 | Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org | Abstract | PDF |
| 2020-06-19 | Valid Causal Inference with (Some) Invalid Instruments | Abstract | PDF |
| 2020-06-18 | Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | Abstract | PDF |
| 2020-06-18 | Learning Invariant Representations for Reinforcement Learning without Reconstruction | Abstract | PDF |
| 2020-06-18 | Pre-trained Language Models as Symbolic Reasoners over Knowledge? | Abstract | PDF |
| 2020-06-17 | Head2Head++: Deep Facial Attributes Re-Targeting | Abstract | PDF |
| 2020-06-17 | TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations | Abstract | PDF |
| 2020-06-17 | LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments | Abstract | PDF |
| 2020-06-17 | Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context | Abstract | PDF |
| 2020-06-17 | Adaptive, Rate-Optimal Testing in Instrumental Variables Models | Abstract | PDF |
| 2020-06-16 | Isometric Graph Neural Networks | Abstract | PDF |
| 2020-06-16 | Causal inference of brain connectivity from fMRI with |
Abstract | PDF |
| 2020-06-16 | A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence | Abstract | PDF |
| 2020-06-16 | Cogradient Descent for Bilinear Optimization | Abstract | PDF |
| 2020-06-16 | Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks | Abstract | PDF |
| 2020-06-16 | On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models | Abstract | PDF |
| 2020-06-16 | Causal Knowledge Extraction from Scholarly Papers in Social Sciences | Abstract | PDF |
| 2020-06-15 | Causal intersectionality for fair ranking | Abstract | PDF |
| 2020-06-15 | Towards practical differentially private causal graph discovery | Abstract | PDF |
| 2020-06-15 | COT-GAN: Generating Sequential Data via Causal Optimal Transport | Abstract | PDF |
| 2020-06-15 | Causal Inference with Deep Causal Graphs | Abstract | PDF |
| 2020-06-15 | p-d-Separation -- A Concept for Expressing Dependence/Independence Relations in Causal Networks | Abstract | PDF |
| 2020-06-14 | Fairness Under Feature Exemptions: Counterfactual and Observational Measures | Abstract | PDF |
| 2020-06-14 | Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification | Abstract | PDF |
| 2020-06-14 | Is Independence all you need? On the Generalization of Representations Learned from Correlated Data | Abstract | PDF |
| 2020-06-14 | Continual General Chunking Problem and SyncMap | Abstract | PDF |
| 2020-06-14 | Structural Autoencoders Improve Representations for Generation and Transfer | Abstract | PDF |
| 2020-06-14 | Dynamic Window-level Granger Causality of Multi-channel Time Series | Abstract | PDF |
| 2020-06-14 | Survival Analysis meets Counterfactual Inference | Abstract | PDF |
| 2020-06-13 | Modelling High-Level Mathematical Reasoning in Mechanised Declarative Proofs | Abstract | PDF |
| 2020-06-13 | Synthetic Interventions | Abstract | PDF |
| 2020-06-13 | Faster MCMC for Gaussian Latent Position Network Models | Abstract | PDF |
| 2020-06-13 | Risk Variance Penalization: From Distributional Robustness to Causality | Abstract | PDF |
| 2020-06-12 | Uncertainty Quantification for Inferring Hawkes Networks | Abstract | PDF |
| 2020-06-12 | Domain Generalization using Causal Matching | Abstract | PDF |
| 2020-06-12 | Learning Causal Models Online | Abstract | PDF |
| 2020-06-12 | Formalizing Falsification for Theories of Consciousness Across Computational Hierarchies | Abstract | PDF |
| 2020-06-12 | Targeting Learning: Robust Statistics for Reproducible Research | Abstract | PDF |
| 2020-06-12 | Minimax Estimation of Conditional Moment Models | Abstract | PDF |
| 2020-06-12 | Learning to Communicate Using Counterfactual Reasoning | Abstract | PDF |
| 2020-06-12 | Learning Decomposed Representation for Counterfactual Inference | Abstract | PDF |
| 2020-06-11 | Getting a CLUE: A Method for Explaining Uncertainty Estimates | Abstract | PDF |
| 2020-06-11 | Algorithmic recourse under imperfect causal knowledge: a probabilistic approach | Abstract | PDF |
| 2020-06-11 | Query Training: Learning and inference for directed and undirected graphical models | Abstract | PDF |
| 2020-06-11 | Deep Structural Causal Models for Tractable Counterfactual Inference | Abstract | PDF |
| 2020-06-11 | Learning Individually Inferred Communication for Multi-Agent Cooperation | Abstract | PDF |
| 2020-06-11 | A Class of Algorithms for General Instrumental Variable Models | Abstract | PDF |
| 2020-06-11 | Conformal Inference of Counterfactuals and Individual Treatment Effects | Abstract | PDF |
| 2020-06-10 | Fair Data Integration | Abstract | PDF |
| 2020-06-10 | Higher-order interactions in statistical physics and machine learning: A non-parametric solution to the inverse problem | Abstract | PDF |
| 2020-06-10 | Structure Learning for Cyclic Linear Causal Models | Abstract | PDF |
| 2020-06-10 | Gradient Flows for Regularized Stochastic Control Problems | Abstract | PDF |
| 2020-06-10 | Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders | Abstract | PDF |
| 2020-06-10 | Low Rank Directed Acyclic Graphs and Causal Structure Learning | Abstract | PDF |
| 2020-06-10 | Active Invariant Causal Prediction: Experiment Selection through Stability | Abstract | PDF |
| 2020-06-10 | Regret Minimization for Causal Inference on Large Treatment Space | Abstract | PDF |
| 2020-06-09 | Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning | Abstract | PDF |
| 2020-06-09 | Re-evaluating phoneme frequencies | Abstract | PDF |
| 2020-06-09 | The Tragedy of the AI Commons | Abstract | PDF |
| 2020-06-09 | Stable Prediction via Leveraging Seed Variable | Abstract | PDF |
| 2020-06-08 | Clustering Causal Additive Noise Models | Abstract | PDF |
| 2020-06-08 | Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects | Abstract | PDF |
| 2020-06-08 | Supervised Whole DAG Causal Discovery | Abstract | PDF |
| 2020-06-08 | A non-causal FFTNet architecture for speech enhancement | Abstract | PDF |
| 2020-06-08 | Balance-Subsampled Stable Prediction | Abstract | PDF |
| 2020-06-08 | Counterfactual VQA: A Cause-Effect Look at Language Bias | Abstract | PDF |
| 2020-06-08 | From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations | Abstract | PDF |
| 2020-06-07 | Ensemble Learning with Statistical and Structural Models | Abstract | PDF |
| 2020-06-07 | Sophisticated Inference | Abstract | PDF |
| 2020-06-06 | Identifying Causal Structure in Dynamical Systems | Abstract | PDF |
| 2020-06-05 | Self-Supervised Encoder for Fault Prediction in Electrochemical Cells | Abstract | PDF |
| 2020-06-05 | Sparsified Linear Programming for Zero-Sum Equilibrium Finding | Abstract | PDF |
| 2020-06-05 | From Checking to Inference: Actual Causality Computations as Optimization Problems | Abstract | PDF |
| 2020-06-05 | Parallel ensemble methods for causal direction inference | Abstract | PDF |
| 2020-06-04 | The effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia | Abstract | PDF |
| 2020-06-03 | Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains | Abstract | PDF |
| 2020-06-03 | Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning | Abstract | PDF |
| 2020-06-02 | What's Sex Got To Do With Fair Machine Learning? | Abstract | PDF |
| 2020-06-02 | Learning Opinion Dynamics From Social Traces | Abstract | PDF |
| 2020-06-02 | Sparse Cholesky covariance parametrization for recovering latent structure in ordered data | Abstract | PDF |
| 2020-06-01 | Aligning Faithful Interpretations with their Social Attribution | Abstract | PDF |
| 2020-06-01 | Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE) | Abstract | PDF |
| 2020-06-01 | When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions | Abstract | PDF |
| 2020-06-01 | Quantum Accelerated Estimation of Algorithmic Information | Abstract | PDF |
| 2020-06-01 | Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online | Abstract | PDF |
| 2020-05-31 | CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection | Abstract | PDF |
| 2020-05-31 | Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning | Abstract | PDF |
| 2020-05-29 | ExplainIt: Explainable Review Summarization with Opinion Causality Graphs | Abstract | PDF |
| 2020-05-29 | Overview of Scanner Invariant Representations | Abstract | PDF |
| 2020-05-29 | Learning LWF Chain Graphs: A Markov Blanket Discovery Approach | Abstract | PDF |
| 2020-05-29 | Bayesian network structure learning with causal effects in the presence of latent variables | Abstract | PDF |
| 2020-05-28 | C-Wars: The Unfolding Argument Strikes Back -- A Reply to 'Falsification & Consciousness' | Abstract | PDF |
| 2020-05-27 | Automated Diagram Generation to Build Understanding and Usability | Abstract | PDF |
| 2020-05-27 | CausaLM: Causal Model Explanation Through Counterfactual Language Models | Abstract | PDF |
| 2020-05-27 | copent: Estimating Copula Entropy in R | Abstract | PDF |
| 2020-05-27 | On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder | Abstract | PDF |
| 2020-05-27 | Counterfactual Detection meets Transfer Learning | Abstract | PDF |
| 2020-05-27 | Learning LWF Chain Graphs: an Order Independent Algorithm | Abstract | PDF |
| 2020-05-26 | Towards intervention-centric causal reasoning in learning agents | Abstract | PDF |
| 2020-05-26 | Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean | Abstract | PDF |
| 2020-05-26 | Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) | Abstract | PDF |
| 2020-05-25 | Fair Policy Targeting | Abstract | PDF |
| 2020-05-25 | Non-cooperative Multi-agent Systems with Exploring Agents | Abstract | PDF |
| 2020-05-25 | Demoting Racial Bias in Hate Speech Detection | Abstract | PDF |
| 2020-05-25 | NILE : Natural Language Inference with Faithful Natural Language Explanations | Abstract | PDF |
| 2020-05-25 | Learning to Charge RF-Energy Harvesting Devices in WiFi Networks | Abstract | PDF |
| 2020-05-24 | Causal Bayesian Optimization | Abstract | PDF |
| 2020-05-24 | Efficient Intervention Design for Causal Discovery with Latents | Abstract | PDF |
| 2020-05-24 | Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models | Abstract | PDF |
| 2020-05-23 | Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders | Abstract | PDF |
| 2020-05-23 | Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation | Abstract | PDF |
| 2020-05-22 | Nonparametric inverse probability weighted estimators based on the highly adaptive lasso | Abstract | PDF |
| 2020-05-22 | Style Normalization and Restitution for Generalizable Person Re-identification | Abstract | PDF |
| 2020-05-21 | Correlated Mixed Membership Modeling of Somatic Mutations | Abstract | PDF |
| 2020-05-21 | Automatic Detection of Influential Actors in Disinformation Networks | Abstract | PDF |
| 2020-05-21 | Accelerated Convergence for Counterfactual Learning to Rank | Abstract | PDF |
| 2020-05-21 | Few-shot Compositional Font Generation with Dual Memory | Abstract | PDF |
| 2020-05-21 | Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation | Abstract | PDF |
| 2020-05-21 | Studying Product Competition Using Representation Learning | Abstract | PDF |
| 2020-05-21 | Principal Fairness for Human and Algorithmic Decision-Making | Abstract | PDF |
| 2020-05-20 | InfoScrub: Towards Attribute Privacy by Targeted Obfuscation | Abstract | PDF |
| 2020-05-20 | Causality, Responsibility and Blame in Team Plans | Abstract | PDF |
| 2020-05-20 | Combining Experts' Causal Judgments | Abstract | PDF |
| 2020-05-20 | Combining the Causal Judgments of Experts with Possibly Different Focus Areas | Abstract | PDF |
| 2020-05-19 | Staying True to Your Word: (How) Can Attention Become Explanation? | Abstract | PDF |
| 2020-05-18 | An Analysis of the Adaptation Speed of Causal Models | Abstract | PDF |
| 2020-05-18 | Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data | Abstract | PDF |
| 2020-05-18 | Causal Feature Learning for Utility-Maximizing Agents | Abstract | PDF |
| 2020-05-18 | Learning Adjustment Sets from Observational and Limited Experimental Data | Abstract | PDF |
| 2020-05-18 | Necessary and sufficient conditions for causal feature selection in time series with latent common causes | Abstract | PDF |
| 2020-05-18 | SemEval-2020 Task 5: Detecting Counterfactuals by Disambiguation | Abstract | PDF |
| 2020-05-16 | Causal Modeling of Twitter Activity During COVID-19 | Abstract | PDF |
| 2020-05-16 | Glottal Source Estimation using an Automatic Chirp Decomposition | Abstract | PDF |
| 2020-05-16 | Learning Joint Articulatory-Acoustic Representations with Normalizing Flows | Abstract | PDF |
| 2020-05-13 | When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes | Abstract | PDF |
| 2020-05-12 | Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic | Abstract | PDF |
| 2020-05-12 | A theoretical treatment of conditional independence testing under Model-X | Abstract | PDF |
| 2020-05-11 | Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation | Abstract | PDF |
| 2020-05-11 | Maximizing Information Gain in Partially Observable Environments via Prediction Reward | Abstract | PDF |
| 2020-05-11 | Synaptic Learning with Augmented Spikes | Abstract | PDF |
| 2020-05-10 | The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes | Abstract | PDF |
| 2020-05-10 | Chirp Complex Cepstrum-based Decomposition for Asynchronous Glottal Analysis | Abstract | PDF |
| 2020-05-10 | Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning | Abstract | PDF |
| 2020-05-10 | Maximal Algorithmic Caliber and Algorithmic Causal Network Inference: General Principles of Real-World General Intelligence? | Abstract | PDF |
| 2020-05-08 | Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images | Abstract | PDF |
| 2020-05-08 | Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding | Abstract | PDF |
| 2020-05-07 | FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization | Abstract | PDF |
| 2020-05-07 | Learning Robust Models for e-Commerce Product Search | Abstract | PDF |
| 2020-05-07 | Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video | Abstract | PDF |
| 2020-05-07 | Distributional Robustness of K-class Estimators and the PULSE | Abstract | PDF |
| 2020-05-06 | Functional Decision Theory in an Evolutionary Environment | Abstract | PDF |
| 2020-05-06 | Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders | Abstract | PDF |
| 2020-05-06 | Low-Rank Nonlinear Decoding of |
Abstract | PDF |
| 2020-05-05 | A generative adversarial network approach to calibration of local stochastic volatility models | Abstract | PDF |
| 2020-05-05 | A Ladder of Causal Distances | Abstract | PDF |
| 2020-05-05 | Effect of The Latent Structure on Clustering with GANs | Abstract | PDF |
| 2020-05-05 | Global explanations for discovering bias in data | Abstract | PDF |
| 2020-05-04 | Designing Data Augmentation for Simulating Interventions | Abstract | PDF |
| 2020-05-04 | Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | Abstract | PDF |
| 2020-05-04 | A Non-equilibrium Thermodynamic Framework of Consciousness | Abstract | PDF |
| 2020-05-04 | A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing | Abstract | PDF |
| 2020-05-04 | Off-the-shelf deep learning is not enough: parsimony, Bayes and causality | Abstract | PDF |
| 2020-05-04 | LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees | Abstract | PDF |
| 2020-05-04 | Human Strategic Steering Improves Performance of Interactive Optimization | Abstract | PDF |
| 2020-05-03 | Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models | Abstract | PDF |
| 2020-05-03 | Multivariate Time Series Forecasting with Transfer Entropy Graph | Abstract | PDF |
| 2020-05-03 | A Causal View on Robustness of Neural Networks | Abstract | PDF |
| 2020-05-03 | Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints | Abstract | PDF |
| 2020-05-02 | A Simple Language Model for Task-Oriented Dialogue | Abstract | PDF |
| 2020-05-02 | ESPRIT: Explaining Solutions to Physical Reasoning Tasks | Abstract | PDF |
| 2020-05-02 | Obtaining Faithful Interpretations from Compositional Neural Networks | Abstract | PDF |
| 2020-05-02 | On Faithfulness and Factuality in Abstractive Summarization | Abstract | PDF |
| 2020-05-01 | Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates | Abstract | PDF |
| 2020-05-01 | Evaluating and Aggregating Feature-based Model Explanations | Abstract | PDF |
| 2020-05-01 | Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles | Abstract | PDF |
| 2020-05-01 | XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning | Abstract | PDF |
| 2020-04-30 | Learning to Faithfully Rationalize by Construction | Abstract | PDF |
| 2020-04-30 | Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? | Abstract | PDF |
| 2020-04-30 | On Deep Instrumental Variables Estimate | Abstract | PDF |
| 2020-04-30 | PreCNet: Next Frame Video Prediction Based on Predictive Coding | Abstract | PDF |
| 2020-04-30 | Self-Supervised and Controlled Multi-Document Opinion Summarization | Abstract | PDF |
| 2020-04-30 | Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Abstract | PDF |
| 2020-04-30 | Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models | Abstract | PDF |
| 2020-04-30 | Logic2Text: High-Fidelity Natural Language Generation from Logical Forms | Abstract | PDF |
| 2020-04-30 | Indirect Identification of Psychosocial Risks from Natural Language | Abstract | PDF |
| 2020-04-29 | Counterfactual Off-Policy Training for Neural Response Generation | Abstract | PDF |
| 2020-04-29 | ToTTo: A Controlled Table-To-Text Generation Dataset | Abstract | PDF |
| 2020-04-29 | WoodFisher: Efficient Second-Order Approximation for Neural Network Compression | Abstract | PDF |
| 2020-04-29 | Towards Transparent and Explainable Attention Models | Abstract | PDF |
| 2020-04-29 | Image Morphing with Perceptual Constraints and STN Alignment | Abstract | PDF |
| 2020-04-29 | Multi-Decoder RNN Autoencoder Based on Variational Bayes Method | Abstract | PDF |
| 2020-04-28 | Towards Prediction Explainability through Sparse Communication | Abstract | PDF |
| 2020-04-28 | Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials | Abstract | PDF |
| 2020-04-28 | Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation | Abstract | PDF |
| 2020-04-28 | MultiMBNN: Matched and Balanced Causal Inference with Neural Networks | Abstract | PDF |
| 2020-04-28 | An ASP-Based Approach to Counterfactual Explanations for Classification | Abstract | PDF |
| 2020-04-27 | Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models | Abstract | PDF |
| 2020-04-27 | Towards causal generative scene models via competition of experts | Abstract | PDF |
| 2020-04-27 | Structural Regularization | Abstract | PDF |
| 2020-04-26 | Detect Language of Transliterated Texts | Abstract | PDF |
| 2020-04-26 | Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias | Abstract | PDF |
| 2020-04-25 | Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand | Abstract | PDF |
| 2020-04-24 | Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion | Abstract | PDF |
| 2020-04-24 | A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification | Abstract | PDF |
| 2020-04-24 | A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation | Abstract | PDF |
| 2020-04-24 | A Causal Modeling Framework with Stochastic Confounders | Abstract | PDF |
| 2020-04-23 | Multi-Objective Counterfactual Explanations | Abstract | PDF |
| 2020-04-22 | Efficient adjustment sets in causal graphical models with hidden variables | Abstract | PDF |
| 2020-04-22 | Counterfactual Learning of Continuous Stochastic Policies | Abstract | PDF |
| 2020-04-21 | Machine learning for causal inference: on the use of cross-fit estimators | Abstract | PDF |
| 2020-04-21 | Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks | Abstract | PDF |
| 2020-04-21 | Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects | Abstract | PDF |
| 2020-04-21 | Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing | Abstract | PDF |
| 2020-04-20 | Causal network learning with non-invertible functional relationships | Abstract | PDF |
| 2020-04-20 | Causality-aware counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks | Abstract | PDF |
| 2020-04-20 | Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning | Abstract | PDF |
| 2020-04-20 | Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense | Abstract | PDF |
| 2020-04-20 | Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision | Abstract | PDF |
| 2020-04-18 | CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models | Abstract | PDF |
| 2020-04-17 | Unsupervised Discovery of Implicit Gender Bias | Abstract | PDF |
| 2020-04-17 | Causal Inference in Case-Control Studies | Abstract | PDF |
| 2020-04-16 | Spectral Learning on Matrices and Tensors | Abstract | PDF |
| 2020-04-16 | SCOUT: Self-aware Discriminant Counterfactual Explanations | Abstract | PDF |
| 2020-04-16 | Do sequence-to-sequence VAEs learn global features of sentences? | Abstract | PDF |
| 2020-04-16 | Explainable Image Classification with Evidence Counterfactual | Abstract | PDF |
| 2020-04-15 | A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches | Abstract | PDF |
| 2020-04-15 | Minimizing Interference and Selection Bias in Network Experiment Design | Abstract | PDF |
| 2020-04-14 | Contrastive Examples for Addressing the Tyranny of the Majority | Abstract | PDF |
| 2020-04-13 | Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits | Abstract | PDF |
| 2020-04-12 | When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans | Abstract | PDF |
| 2020-04-12 | AMR Parsing via Graph-Sequence Iterative Inference | Abstract | PDF |
| 2020-04-12 | Cross-domain Correspondence Learning for Exemplar-based Image Translation | Abstract | PDF |
| 2020-04-12 | Reinforcement Learning via Reasoning from Demonstration | Abstract | PDF |
| 2020-04-11 | Ivy: Instrumental Variable Synthesis for Causal Inference | Abstract | PDF |
| 2020-04-10 | Estimating Individual Treatment Effects through Causal Populations Identification | Abstract | PDF |
| 2020-04-10 | Fully Automatic Electrocardiogram Classification System based on Generative Adversarial Network with Auxiliary Classifier | Abstract | PDF |
| 2020-04-10 | Full Law Identification In Graphical Models Of Missing Data: Completeness Results | Abstract | PDF |
| 2020-04-09 | Object classification from randomized EEG trials | Abstract | PDF |
| 2020-04-09 | Violent music vs violence and music: Drill rap and violent crime in London | Abstract | PDF |
| 2020-04-09 | On Anomaly Interpretation via Shapley Values | Abstract | PDF |
| 2020-04-09 | A category theoretical argument for causal inference | Abstract | PDF |
| 2020-04-08 | Generating Counter Narratives against Online Hate Speech: Data and Strategies | Abstract | PDF |
| 2020-04-07 | Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? | Abstract | PDF |
| 2020-04-07 | Faithful Embeddings for Knowledge Base Queries | Abstract | PDF |
| 2020-04-07 | Causal Relational Learning | Abstract | PDF |
| 2020-04-07 | Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation | Abstract | PDF |
| 2020-04-07 | Repulsive Mixture Models of Exponential Family PCA for Clustering | Abstract | PDF |
| 2020-04-06 | Probabilistic embeddings for speaker diarization | Abstract | PDF |
| 2020-04-05 | Detecting and Understanding Generalization Barriers for Neural Machine Translation | Abstract | PDF |
| 2020-04-04 | Measuring Social Biases of Crowd Workers using Counterfactual Queries | Abstract | PDF |
| 2020-04-04 | Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection | Abstract | PDF |
| 2020-04-03 | Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis | Abstract | PDF |
| 2020-04-02 | Predicting the outputs of finite networks trained with noisy gradients | Abstract | PDF |
| 2020-04-02 | Causal Inference of Script Knowledge | Abstract | PDF |
| 2020-04-02 | Identification Methods With Arbitrary Interventional Distributions as Inputs | Abstract | PDF |
| 2020-04-02 | Improving Confidence in the Estimation of Values and Norms | Abstract | PDF |
| 2020-04-02 | Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow | Abstract | PDF |
| 2020-04-01 | Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication | Abstract | PDF |
| 2020-04-01 | A theory of independent mechanisms for extrapolation in generative models | Abstract | PDF |
| 2020-03-31 | Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning | Abstract | PDF |
| 2020-03-31 | A macro agent and its actions | Abstract | PDF |
| 2020-03-30 | Can Deep Learning Recognize Subtle Human Activities? | Abstract | PDF |
| 2020-03-30 | Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation | Abstract | PDF |
| 2020-03-30 | High-dimensional mixed-frequency IV regression | Abstract | PDF |
| 2020-03-29 | Can AI help in screening Viral and COVID-19 pneumonia? | Abstract | PDF |
| 2020-03-29 | Learning Latent Causal Structures with a Redundant Input Neural Network | Abstract | PDF |
| 2020-03-27 | Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables | Abstract | PDF |
| 2020-03-27 | MCFlow: Monte Carlo Flow Models for Data Imputation | Abstract | PDF |
| 2020-03-27 | Robust Q-learning | Abstract | PDF |
| 2020-03-27 | On the role of surrogates in the efficient estimation of treatment effects with limited outcome data | Abstract | PDF |
| 2020-03-27 | Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss | Abstract | PDF |
| 2020-03-26 | Estimating Treatment Effects with Observed Confounders and Mediators | Abstract | PDF |
| 2020-03-26 | P |
Abstract | PDF |
| 2020-03-26 | A Critique on the Interventional Detection of Causal Relationships | Abstract | PDF |
| 2020-03-25 | VIOLIN: A Large-Scale Dataset for Video-and-Language Inference | Abstract | PDF |
| 2020-03-25 | A general framework for causal classification | Abstract | PDF |
| 2020-03-25 | Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples | Abstract | PDF |
| 2020-03-25 | Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems | Abstract | PDF |
| 2020-03-24 | TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks | Abstract | PDF |
| 2020-03-24 | Robust and On-the-fly Dataset Denoising for Image Classification | Abstract | PDF |
| 2020-03-23 | G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes | Abstract | PDF |
| 2020-03-23 | Deterministic Approximate EM Algorithm; Application to the Riemann Approximation EM and the Tempered EM | Abstract | PDF |
| 2020-03-21 | On Information Plane Analyses of Neural Network Classifiers -- A Review | Abstract | PDF |
| 2020-03-21 | Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography | Abstract | PDF |
| 2020-03-20 | Adversarial Robustness on In- and Out-Distribution Improves Explainability | Abstract | PDF |
| 2020-03-20 | L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation | Abstract | PDF |
| 2020-03-20 | Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving | Abstract | PDF |
| 2020-03-17 | ParKCa: Causal Inference with Partially Known Causes | Abstract | PDF |
| 2020-03-17 | Fair inference on error-prone outcomes | Abstract | PDF |
| 2020-03-16 | Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning | Abstract | PDF |
| 2020-03-15 | Causality-based Explanation of Classification Outcomes | Abstract | PDF |
| 2020-03-14 | Counterfactual Samples Synthesizing for Robust Visual Question Answering | Abstract | PDF |
| 2020-03-14 | Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis | Abstract | PDF |
| 2020-03-12 | Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world | Abstract | PDF |
| 2020-03-12 | Invariant Causal Prediction for Block MDPs | Abstract | PDF |
| 2020-03-12 | Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding | Abstract | PDF |
| 2020-03-10 | Towards Clarifying the Theory of the Deconfounder | Abstract | PDF |
| 2020-03-10 | Automated discovery of a robust interatomic potential for aluminum | Abstract | PDF |
| 2020-03-10 | 3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising | Abstract | PDF |
| 2020-03-09 | Transfer Reinforcement Learning under Unobserved Contextual Information | Abstract | PDF |
| 2020-03-09 | Cloth in the Wind: A Case Study of Physical Measurement through Simulation | Abstract | PDF |
| 2020-03-09 | Vector logic allows counterfactual virtualization by The Square Root of NOT | Abstract | PDF |
| 2020-03-09 | Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation | Abstract | PDF |
| 2020-03-09 | Deconfounded Image Captioning: A Causal Retrospect | Abstract | PDF |
| 2020-03-08 | Perceptual Image Super-Resolution with Progressive Adversarial Network | Abstract | PDF |
| 2020-03-07 | Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets | Abstract | PDF |
| 2020-03-06 | Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data | Abstract | PDF |
| 2020-03-05 | An algorithm for reconstruction of triangle-free linear dynamic networks with verification of correctness | Abstract | PDF |
| 2020-03-05 | What went wrong and when? Instance-wise Feature Importance for Time-series Models | Abstract | PDF |
| 2020-03-05 | ViCE: Visual Counterfactual Explanations for Machine Learning Models | Abstract | PDF |
| 2020-03-05 | Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference | Abstract | PDF |
2020 / 3 / 4
| Date | Title | Links |
|---|---|---|
| 2020-03-03 | Explaining Groups of Points in Low-Dimensional Representations | Abstract | PDF |
| 2020-03-03 | Differentiable Causal Backdoor Discovery | Abstract | PDF |
| 2020-03-03 | Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs | Abstract | PDF |
| 2020-03-02 | BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning | Abstract | PDF |
| 2020-03-02 | Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference | Abstract | PDF |
| 2020-03-02 | Causal Transfer for Imitation Learning and Decision Making under Sensor-shift | Abstract | PDF |
| 2020-03-02 | Approximate Cross-validation: Guarantees for Model Assessment and Selection | Abstract | PDF |
| 2020-03-01 | A Study on Multimodal and Interactive Explanations for Visual Question Answering | Abstract | PDF |
| 2020-02-29 | Grounded and Controllable Image Completion by Incorporating Lexical Semantics | Abstract | PDF |
| 2020-02-29 | Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment | Abstract | PDF |
| 2020-02-28 | Causality and Robust Optimization | Abstract | PDF |
| 2020-02-27 | Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks | Abstract | PDF |
| 2020-02-27 | Visual Commonsense R-CNN | Abstract | PDF |
| 2020-02-27 | Unbiased Scene Graph Generation from Biased Training | Abstract | PDF |
| 2020-02-27 | Deep Residual-Dense Lattice Network for Speech Enhancement | Abstract | PDF |
| 2020-02-27 | Unshuffling Data for Improved Generalization | Abstract | PDF |
| 2020-02-26 | Sparse Sinkhorn Attention | Abstract | PDF |
| 2020-02-25 | Problems with Shapley-value-based explanations as feature importance measures | Abstract | PDF |
| 2020-02-25 | Causal Inference With Selectively-Deconfounded Data | Abstract | PDF |
| 2020-02-25 | CausalML: Python Package for Causal Machine Learning | Abstract | PDF |
| 2020-02-25 | MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models | Abstract | PDF |
| 2020-02-25 | Biased Stochastic Gradient Descent for Conditional Stochastic Optimization | Abstract | PDF |
| 2020-02-25 | Counterfactual fairness: removing direct effects through regularization | Abstract | PDF |
| 2020-02-24 | AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms | Abstract | PDF |
| 2020-02-24 | Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval | Abstract | PDF |
| 2020-02-24 | Towards precise causal effect estimation from data with hidden variables | Abstract | PDF |
| 2020-02-24 | Learning From Strategic Agents: Accuracy, Improvement, and Causality | Abstract | PDF |
| 2020-02-23 | A Critical View of the Structural Causal Model | Abstract | PDF |
| 2020-02-21 | Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values | Abstract | PDF |
| 2020-02-21 | On The Reasons Behind Decisions | Abstract | PDF |
| 2020-02-20 | I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models | Abstract | PDF |
| 2020-02-20 | Safe Counterfactual Reinforcement Learning | Abstract | PDF |
| 2020-02-20 | Causal Inference under Networked Interference | Abstract | PDF |
| 2020-02-19 | Stochastic Regret Minimization in Extensive-Form Games | Abstract | PDF |
| 2020-02-19 | Learning Global Transparent Models from Local Contrastive Explanations | Abstract | PDF |
| 2020-02-18 | CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods | Abstract | PDF |
| 2020-02-18 | Observational nonidentifiability, generalized likelihood and free energy | Abstract | PDF |
| 2020-02-17 | Double/Debiased Machine Learning for Dynamic Treatment Effects | Abstract | PDF |
| 2020-02-17 | Causal Feature Discovery through Strategic Modification | Abstract | PDF |
| 2020-02-17 | An ASP semantics for Constraints involving Conditional Aggregates | Abstract | PDF |
| 2020-02-17 | Wireless Power Control via Counterfactual Optimization of Graph Neural Networks | Abstract | PDF |
| 2020-02-17 | Learning Individually Fair Classifier with Causal-Effect Constraint | Abstract | PDF |
| 2020-02-16 | Performative Prediction | Abstract | PDF |
| 2020-02-16 | Convex Fairness Constrained Model Using Causal Effect Estimators | Abstract | PDF |
| 2020-02-14 | Algorithmic Recourse: from Counterfactual Explanations to Interventions | Abstract | PDF |
| 2020-02-14 | Learning models of quantum systems from experiments | Abstract | PDF |
| 2020-02-14 | Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base | Abstract | PDF |
| 2020-02-14 | Bayesian Learning of Causal Relationships for System Reliability | Abstract | PDF |
| 2020-02-14 | Deep learning of dynamical attractors from time series measurements | Abstract | PDF |
| 2020-02-14 | Transformers as Soft Reasoners over Language | Abstract | PDF |
| 2020-02-13 | Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning | Abstract | PDF |
| 2020-02-13 | Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm | Abstract | PDF |
| 2020-02-12 | Conditional Path Analysis in Singly-Connected Path Diagrams | Abstract | PDF |
| 2020-02-12 | Resolving Spurious Correlations in Causal Models of Environments via Interventions | Abstract | PDF |
| 2020-02-12 | Estimating Uncertainty Intervals from Collaborating Networks | Abstract | PDF |
| 2020-02-12 | Detect and Correct Bias in Multi-Site Neuroimaging Datasets | Abstract | PDF |
| 2020-02-12 | Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor | Abstract | PDF |
| 2020-02-12 | Convex Density Constraints for Computing Plausible Counterfactual Explanations | Abstract | PDF |
| 2020-02-11 | Bayesian Nonparametric Cost-Effectiveness Analyses: Causal Estimation and Adaptive Subgroup Discovery | Abstract | PDF |
| 2020-02-11 | Invariant Risk Minimization Games | Abstract | PDF |
| 2020-02-11 | Decisions, Counterfactual Explanations and Strategic Behavior | Abstract | PDF |
| 2020-02-11 | Efficiently Learning and Sampling Interventional Distributions from Observations | Abstract | PDF |
| 2020-02-10 | Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations | Abstract | PDF |
| 2020-02-10 | Learning Stochastic Behaviour of Aggregate Data | Abstract | PDF |
| 2020-02-10 | Few-shot Domain Adaptation by Causal Mechanism Transfer | Abstract | PDF |
| 2020-02-09 | Domain Adaptation As a Problem of Inference on Graphical Models | Abstract | PDF |
| 2020-02-08 | Inference for Batched Bandits | Abstract | PDF |
| 2020-02-08 | Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials | Abstract | PDF |
| 2020-02-07 | Causally Correct Partial Models for Reinforcement Learning | Abstract | PDF |
| 2020-02-06 | Uncovering differential equations from data with hidden variables | Abstract | PDF |
| 2020-02-06 | Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation | Abstract | PDF |
| 2020-02-06 | On Geometry of Information Flow for Causal Inference | Abstract | PDF |
| 2020-02-05 | A Survey on Causal Inference | Abstract | PDF |
| 2020-02-05 | A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing | Abstract | PDF |
| 2020-02-05 | `Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees | Abstract | PDF |
| 2020-02-04 | Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952) | Abstract | PDF |
| 2020-02-04 | Fake News Detection by means of Uncertainty Weighted Causal Graphs | Abstract | PDF |
| 2020-02-02 | Safe Exploration for Optimizing Contextual Bandits | Abstract | PDF |
| 2020-02-02 | Uncertainty Weighted Causal Graphs | Abstract | PDF |
| 2020-02-02 | Interpretability of Blackbox Machine Learning Models through Dataview Extraction and Shadow Model creation | Abstract | PDF |
| 2020-02-01 | A Tutorial on Learning With Bayesian Networks | Abstract | PDF |
| 2020-02-01 | Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis | Abstract | PDF |
| 2020-01-31 | Testing Unsatisfiability of Constraint Satisfaction Problems via Tensor Products | Abstract | PDF |
| 2020-01-31 | Causal Structure Discovery from Distributions Arising from Mixtures of DAGs | Abstract | PDF |
| 2020-01-30 | Uncovering life-course patterns with causal discovery and survival analysis | Abstract | PDF |
| 2020-01-30 | Fictitious Play Outperforms Counterfactual Regret Minimization | Abstract | PDF |
| 2020-01-29 | On Constraint Definability in Tractable Probabilistic Models | Abstract | PDF |
| 2020-01-29 | Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations | Abstract | PDF |
| 2020-01-29 | Treatment effect estimation with disentangled latent factors | Abstract | PDF |
| 2020-01-28 | Distal Explanations for Explainable Reinforcement Learning Agents | Abstract | PDF |
| 2020-01-28 | Causal query in observational data with hidden variables | Abstract | PDF |
| 2020-01-27 | Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems | Abstract | PDF |
| 2020-01-27 | Estimating heterogeneous treatment effects with right-censored data via causal survival forests | Abstract | PDF |
| 2020-01-27 | One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency | Abstract | PDF |
| 2020-01-26 | Inference in Multi-Layer Networks with Matrix-Valued Unknowns | Abstract | PDF |
| 2020-01-25 | An Empirical Study of Person Re-Identification with Attributes | Abstract | PDF |
| 2020-01-25 | On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond | Abstract | PDF |
| 2020-01-22 | Causality based Feature Fusion for Brain Neuro-Developmental Analysis | Abstract | PDF |
| 2020-01-22 | Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization | Abstract | PDF |
| 2020-01-21 | Deceptive AI Explanations: Creation and Detection | Abstract | PDF |
| 2020-01-21 | Adequate and fair explanations | Abstract | PDF |
| 2020-01-21 | Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects | Abstract | PDF |
| 2020-01-21 | Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach | Abstract | PDF |
| 2020-01-20 | The Incentives that Shape Behaviour | Abstract | PDF |
| 2020-01-17 | Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory | Abstract | PDF |
| 2020-01-16 | Inferring Individual Level Causal Models from Graph-based Relational Time Series | Abstract | PDF |
| 2020-01-16 | Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions | Abstract | PDF |
| 2020-01-15 | AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses | Abstract | PDF |
| 2020-01-15 | Causal Discovery from Incomplete Data: A Deep Learning Approach | Abstract | PDF |
| 2020-01-15 | A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation | Abstract | PDF |
| 2020-01-14 | Learning Overlapping Representations for the Estimation of Individualized Treatment Effects | Abstract | PDF |
| 2020-01-13 | Causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders | Abstract | PDF |
| 2020-01-12 | Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint | Abstract | PDF |
| 2020-01-11 | Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning | Abstract | PDF |
| 2020-01-11 | Confidence Scores Make Instance-dependent Label-noise Learning Possible | Abstract | PDF |
| 2020-01-09 | The Counterfactual |
Abstract | PDF |
| 2020-01-09 | Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry | Abstract | PDF |
| 2020-01-09 | Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches | Abstract | PDF |
| 2020-01-09 | Probabilistic Reasoning across the Causal Hierarchy | Abstract | PDF |
| 2020-01-08 | Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks | Abstract | PDF |
| 2020-01-07 | Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples | Abstract | PDF |
| 2020-01-07 | Minimum entropy production in multipartite processes due to neighborhood constraints | Abstract | PDF |
| 2020-01-07 | Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method | Abstract | PDF |
| 2020-01-06 | Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging | Abstract | PDF |
| 2020-01-04 | Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment | Abstract | PDF |
| 2020-01-02 | A Loss-Function for Causal Machine-Learning | Abstract | PDF |
| 2019-12-30 | Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects, Conditional Value at Risk, and Beyond | Abstract | PDF |
| 2019-12-30 | Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium | Abstract | PDF |
| 2019-12-30 | Causal-Anticausal Decomposition of Speech using Complex Cepstrum for Glottal Source Estimation | Abstract | PDF |
| 2019-12-29 | Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation | Abstract | PDF |
| 2019-12-28 | Alleviation for Gradient Exploding in GANs: Fake Can Be Real | Abstract | PDF |
| 2019-12-28 | Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review | Abstract | PDF |
| 2019-12-25 | Confounder Selection via Support Intersection | Abstract | PDF |
| 2019-12-24 | A Drug Recommendation System (Dr.S) for cancer cell lines | Abstract | PDF |
| 2019-12-23 | Data-driven Discovery of Emergent Behaviors in Collective Dynamics | Abstract | PDF |
| 2019-12-22 | Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data | Abstract | PDF |
| 2019-12-21 | Deep Automodulators | Abstract | PDF |
| 2019-12-20 | When Explanations Lie: Why Many Modified BP Attributions Fail | Abstract | PDF |
| 2019-12-19 | Causal statistical modeling and calculation of distribution functions of classification features | Abstract | PDF |
| 2019-12-19 | Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation | Abstract | PDF |
| 2019-12-19 | Understanding Human Judgments of Causality | Abstract | PDF |
| 2019-12-19 | Learning a Spatio-Temporal Embedding for Video Instance Segmentation | Abstract | PDF |
| 2019-12-18 | Variable-lag Granger Causality for Time Series Analysis | Abstract | PDF |
| 2019-12-18 | Counterfactual thinking in cooperation dynamics | Abstract | PDF |
| 2019-12-17 | Causality matters in medical imaging | Abstract | PDF |
| 2019-12-16 | Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing | Abstract | PDF |
| 2019-12-16 | ITENE: Intrinsic Transfer Entropy Neural Estimator | Abstract | PDF |
| 2019-12-15 | Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data | Abstract | PDF |
| 2019-12-13 | From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) | Abstract | PDF |
| 2019-12-13 | More Efficient Off-Policy Evaluation through Regularized Targeted Learning | Abstract | PDF |
| 2019-12-11 | Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud | Abstract | PDF |
| 2019-12-11 | Fundamental Entropic Laws and |
Abstract | PDF |
| 2019-12-10 | Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information | Abstract | PDF |
| 2019-12-09 | Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning | Abstract | PDF |
| 2019-12-09 | MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population | Abstract | PDF |
| 2019-12-08 | Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease | Abstract | PDF |
| 2019-12-06 | Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers | Abstract | PDF |
| 2019-12-06 | Alternative Function Approximation Parameterizations for Solving Games: An Analysis of |
Abstract | PDF |
| 2019-12-05 | Learning undirected models via query training | Abstract | PDF |
| 2019-12-05 | Causal structure based root cause analysis of outliers | Abstract | PDF |
| 2019-12-05 | Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links | Abstract | PDF |
| 2019-12-05 | Ultrafast Photorealistic Style Transfer via Neural Architecture Search | Abstract | PDF |
| 2019-12-05 | Towards Robust Relational Causal Discovery | Abstract | PDF |
| 2019-12-04 | Learning from Interventions using Hierarchical Policies for Safe Learning | Abstract | PDF |
| 2019-12-04 | Fantastic Generalization Measures and Where to Find Them | Abstract | PDF |
| 2019-12-04 | Counterfactual Explanation Algorithms for Behavioral and Textual Data | Abstract | PDF |
| 2019-12-03 | The Comparison of Methods for Individual Treatment Effect Detection | Abstract | PDF |
| 2019-12-03 | Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian | Abstract | PDF |
| 2019-12-03 | A Hidden Variables Approach to Multilabel Logistic Regression | Abstract | PDF |
| 2019-12-03 | Value-laden Disciplinary Shifts in Machine Learning | Abstract | PDF |
| 2019-12-02 | On Distance and Kernel Measures of Conditional Independence | Abstract | PDF |
| 2019-12-02 | EMAP: Explanation by Minimal Adversarial Perturbation | Abstract | PDF |
| 2019-12-02 | Learning Bayesian networks from demographic and health survey data | Abstract | PDF |
| 2019-12-01 | Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models | Abstract | PDF |
| 2019-11-30 | Modeling Fluency and Faithfulness for Diverse Neural Machine Translation | Abstract | PDF |
| 2019-11-30 | Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations | Abstract | PDF |
| 2019-11-28 | A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients | Abstract | PDF |
| 2019-11-27 | Improving Model Robustness Using Causal Knowledge | Abstract | PDF |
| 2019-11-27 | Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles | Abstract | PDF |
| 2019-11-26 | High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework | Abstract | PDF |
| 2019-11-25 | Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning | Abstract | PDF |
| 2019-11-25 | Checking Chase Termination over Ontologies of Existential Rules with Equality | Abstract | PDF |
| 2019-11-25 | FairyTED: A Fair Rating Predictor for TED Talk Data | Abstract | PDF |
| 2019-11-25 | A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations | Abstract | PDF |
| 2019-11-24 | Algorithmic Bias in Recidivism Prediction: A Causal Perspective | Abstract | PDF |
| 2019-11-24 | Causally Denoise Word Embeddings Using Half-Sibling Regression | Abstract | PDF |
| 2019-11-24 | Causality for Machine Learning | Abstract | PDF |
| 2019-11-24 | Two Causal Principles for Improving Visual Dialog | Abstract | PDF |
| 2019-11-22 | Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution | Abstract | PDF |
| 2019-11-22 | Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality | Abstract | PDF |
| 2019-11-22 | SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction | Abstract | PDF |
| 2019-11-21 | An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada | Abstract | PDF |
| 2019-11-21 | Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis | Abstract | PDF |
| 2019-11-21 | A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity | Abstract | PDF |
| 2019-11-21 | FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis | Abstract | PDF |
| 2019-11-20 | Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models | Abstract | PDF |
| 2019-11-20 | Natural Language Generation Challenges for Explainable AI | Abstract | PDF |
| 2019-11-20 | Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications | Abstract | PDF |
| 2019-11-20 | Response Transformation and Profit Decomposition for Revenue Uplift Modeling | Abstract | PDF |
| 2019-11-19 | PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems | Abstract | PDF |
| 2019-11-19 | Two-Stream FCNs to Balance Content and Style for Style Transfer | Abstract | PDF |
| 2019-11-19 | Fair Learning-to-Rank from Implicit Feedback | Abstract | PDF |
| 2019-11-18 | TracKlinic: Diagnosis of Challenge Factors in Visual Tracking | Abstract | PDF |
| 2019-11-18 | Influence-aware Memory for Deep Reinforcement Learning | Abstract | PDF |
| 2019-11-18 | A Graph Autoencoder Approach to Causal Structure Learning | Abstract | PDF |
| 2019-11-17 | Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling | Abstract | PDF |
| 2019-11-17 | Causality-based Feature Selection: Methods and Evaluations | Abstract | PDF |
| 2019-11-16 | RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series | Abstract | PDF |
| 2019-11-16 | Generalized Maximum Causal Entropy for Inverse Reinforcement Learning | Abstract | PDF |
| 2019-11-15 | Causal inference using Bayesian non-parametric quasi-experimental design | Abstract | PDF |
| 2019-11-15 | Fair Data Adaptation with Quantile Preservation | Abstract | PDF |
| 2019-11-15 | A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging | Abstract | PDF |
| 2019-11-15 | On the computation of counterfactual explanations -- A survey | Abstract | PDF |
| 2019-11-15 | Using natural language processing to extract health-related causality from Twitter messages | Abstract | PDF |
| 2019-11-14 | Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling | Abstract | PDF |
| 2019-11-14 | Question-Conditioned Counterfactual Image Generation for VQA | Abstract | PDF |
| 2019-11-12 | Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning | Abstract | PDF |
| 2019-11-11 | Fairness through Equality of Effort | Abstract | PDF |
| 2019-11-11 | A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data | Abstract | PDF |
| 2019-11-11 | Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors | Abstract | PDF |
| 2019-11-10 | Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation | Abstract | PDF |
| 2019-11-09 | Optimal Experimental Design for Staggered Rollouts | Abstract | PDF |
| 2019-11-09 | Towards Understanding Gender Bias in Relation Extraction | Abstract | PDF |
| 2019-11-08 | ERASER: A Benchmark to Evaluate Rationalized NLP Models | Abstract | PDF |
| 2019-11-08 | A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models | Abstract | PDF |
| 2019-11-08 | Reducing Sentiment Bias in Language Models via Counterfactual Evaluation | Abstract | PDF |
| 2019-11-07 | Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning | Abstract | PDF |
| 2019-11-07 | Group Average Treatment Effects for Observational Studies | Abstract | PDF |
| 2019-11-06 | Towards Monitoring Parkinson's Disease Following Drug Treatment: CGP Classification of rs-MRI Data | Abstract | PDF |
| 2019-11-06 | MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems | Abstract | PDF |
| 2019-11-06 | Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems | Abstract | PDF |
| 2019-11-06 | Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding | Abstract | PDF |
| 2019-11-05 | Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples | Abstract | PDF |
| 2019-11-05 | Bias-aware model selection for machine learning of doubly robust functionals | Abstract | PDF |
| 2019-11-04 | Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations | Abstract | PDF |
| 2019-11-04 | Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life | Abstract | PDF |
| 2019-11-04 | Explaining the Predictions of Any Image Classifier via Decision Trees | Abstract | PDF |
| 2019-11-02 | Fair Predictors under Distribution Shift | Abstract | PDF |
| 2019-11-01 | Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches | Abstract | PDF |
| 2019-11-01 | Learning Hawkes Processes from a Handful of Events | Abstract | PDF |
| 2019-11-01 | Robust contrastive learning and nonlinear ICA in the presence of outliers | Abstract | PDF |
| 2019-11-01 | Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding | Abstract | PDF |
| 2019-11-01 | Generating Justifications for Norm-Related Agent Decisions | Abstract | PDF |
| 2019-10-31 | Scaling structural learning with NO-BEARS to infer causal transcriptome networks | Abstract | PDF |
| 2019-10-31 | Gaussian-Spherical Restricted Boltzmann Machines | Abstract | PDF |
| 2019-10-31 | Continual Multi-task Gaussian Processes | Abstract | PDF |
| 2019-10-31 | Extending Causal Models from Machines into Humans | Abstract | PDF |
| 2019-10-31 | Towards A Logical Account of Epistemic Causality | Abstract | PDF |
| 2019-10-31 | Causal Inference via Conditional Kolmogorov Complexity using MDL Binning | Abstract | PDF |
| 2019-10-30 | Bayesian causal inference via probabilistic program synthesis | Abstract | PDF |
| 2019-10-30 | Unsupervised inference approach to facial attractiveness | Abstract | PDF |
| 2019-10-30 | Proceedings of the 4th Workshop on Formal Reasoning about Causation, Responsibility, and Explanations in Science and Technology | Abstract | PDF |
| 2019-10-30 | Mathematical decisions and non-causal elements of explainable AI | Abstract | PDF |
| 2019-10-29 | Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets | Abstract | PDF |
| 2019-10-29 | Feature relevance quantification in explainable AI: A causal problem | Abstract | PDF |
| 2019-10-28 | Transformer-Transducer: End-to-End Speech Recognition with Self-Attention | Abstract | PDF |
| 2019-10-28 | A Game Theoretic Approach to Class-wise Selective Rationalization | Abstract | PDF |
| 2019-10-28 | Deep causal representation learning for unsupervised domain adaptation | Abstract | PDF |
| 2019-10-27 | Dual IV: A Single Stage Instrumental Variable Regression | Abstract | PDF |
| 2019-10-27 | CXPlain: Causal Explanations for Model Interpretation under Uncertainty | Abstract | PDF |
| 2019-10-27 | An Active Approach for Model Interpretation | Abstract | PDF |
| 2019-10-25 | Causal inference for climate change events from satellite image time series using computer vision and deep learning | Abstract | PDF |
| 2019-10-24 | Integrating overlapping datasets using bivariate causal discovery | Abstract | PDF |
| 2019-10-24 | A Bayesian nonparametric test for conditional independence | Abstract | PDF |
| 2019-10-24 | Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions | Abstract | PDF |
| 2019-10-23 | A Hierarchical Mixture Density Network | Abstract | PDF |
| 2019-10-23 | Strategic Classification is Causal Modeling in Disguise | Abstract | PDF |
| 2019-10-22 | Leveraging directed causal discovery to detect latent common causes | Abstract | PDF |
| 2019-10-22 | Embedded Bayesian Network Classifiers | Abstract | PDF |
| 2019-10-21 | Causal bootstrapping | Abstract | PDF |
| 2019-10-21 | Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community | Abstract | PDF |
| 2019-10-21 | Towards User Empowerment | Abstract | PDF |
| 2019-10-21 | Localization of Fake News Detection via Multitask Transfer Learning | Abstract | PDF |
| 2019-10-21 | Robust Online Learning for Resource Allocation -- Beyond Euclidean Projection and Dynamic Fit | Abstract | PDF |
| 2019-10-21 | Discovering the Compositional Structure of Vector Representations with Role Learning Networks | Abstract | PDF |
| 2019-10-20 | PC-Fairness: A Unified Framework for Measuring Causality-based Fairness | Abstract | PDF |
| 2019-10-20 | CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions | Abstract | PDF |
| 2019-10-20 | Ordering-Based Causal Structure Learning in the Presence of Latent Variables | Abstract | PDF |
| 2019-10-20 | Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis | Abstract | PDF |
| 2019-10-19 | Measurement Dependence Inducing Latent Causal Models | Abstract | PDF |
| 2019-10-19 | Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation | Abstract | PDF |
| 2019-10-18 | Masked Gradient-Based Causal Structure Learning | Abstract | PDF |
| 2019-10-18 | Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach | Abstract | PDF |
| 2019-10-17 | MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming | Abstract | PDF |
| 2019-10-17 | Comment: Reflections on the Deconfounder | Abstract | PDF |
| 2019-10-17 | Go with the Flow: Perception-refined Physics Simulation | Abstract | PDF |
| 2019-10-17 | Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited | Abstract | PDF |
| 2019-10-16 | A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random | Abstract | PDF |
| 2019-10-16 | Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge | Abstract | PDF |
| 2019-10-16 | Optimising Individual-Treatment-Effect Using Bandits | Abstract | PDF |
| 2019-10-16 | Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure | Abstract | PDF |
| 2019-10-16 | Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics | Abstract | PDF |
| 2019-10-15 | Counterfactual diagnosis | Abstract | PDF |
| 2019-10-14 | Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability | Abstract | PDF |
| 2019-10-14 | Variational Tracking and Prediction with Generative Disentangled State-Space Models | Abstract | PDF |
| 2019-10-14 | Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization | Abstract | PDF |
| 2019-10-13 | Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems | Abstract | PDF |
| 2019-10-12 | Interventional Experiment Design for Causal Structure Learning | Abstract | PDF |
| 2019-10-11 | Comment on "Blessings of Multiple Causes | Abstract | PDF |
| 2019-10-11 | The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data | Abstract | PDF |
| 2019-10-11 | BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels | Abstract | PDF |
| 2019-10-11 | Regret Analysis of Causal Bandit Problems | Abstract | PDF |
| 2019-10-10 | Estimation of Utility-Maximizing Bounds on Potential Outcomes | Abstract | PDF |
| 2019-10-10 | Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement | Abstract | PDF |
| 2019-10-10 | Causality and deceit: Do androids watch action movies? | Abstract | PDF |
| 2019-10-10 | Estimating Transfer Entropy via Copula Entropy | Abstract | PDF |
| 2019-10-09 | Subspace Estimation from Unbalanced and Incomplete Data Matrices: |
Abstract | PDF |
| 2019-10-09 | Removing input features via a generative model to explain their attributions to an image classifier's decisions | Abstract | PDF |
| 2019-10-09 | Optimal Training of Fair Predictive Models | Abstract | PDF |
| 2019-10-09 | Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks | Abstract | PDF |
| 2019-10-09 | Model-based Reinforcement Learning for Predictions and Control for Limit Order Books | Abstract | PDF |
| 2019-10-07 | Combining No-regret and Q-learning | Abstract | PDF |
| 2019-10-07 | Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs | Abstract | PDF |
| 2019-10-07 | High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes | Abstract | PDF |
| 2019-10-06 | Boosting Local Causal Discovery in High-Dimensional Expression Data | Abstract | PDF |
| 2019-10-06 | A Short Remark on Analogical Reasoning | Abstract | PDF |
| 2019-10-05 | Making sense of sensory input | Abstract | PDF |
| 2019-10-05 | A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks | Abstract | PDF |
| 2019-10-04 | Optimized Partial Identification Bounds for Regression Discontinuity Designs with Manipulation | Abstract | PDF |
| 2019-10-04 | Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration | Abstract | PDF |
| 2019-10-04 | Stacked Wasserstein Autoencoder | Abstract | PDF |
| 2019-10-03 | Causal Induction from Visual Observations for Goal Directed Tasks | Abstract | PDF |
| 2019-10-03 | Spike-based causal inference for weight alignment | Abstract | PDF |
| 2019-10-03 | CLEVRER: CoLlision Events for Video REpresentation and Reasoning | Abstract | PDF |
| 2019-10-03 | Efficient Local Causal Discovery Based on Markov Blanket | Abstract | PDF |
| 2019-10-02 | Embodied Language Grounding with Implicit 3D Visual Feature Representations | Abstract | PDF |
| 2019-10-02 | Learning Neural Causal Models from Unknown Interventions | Abstract | PDF |
| 2019-10-02 | Causal inference with Bayes rule | Abstract | PDF |
| 2019-10-02 | Contextual Local Explanation for Black Box Classifiers | Abstract | PDF |
| 2019-10-02 | Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph | Abstract | PDF |
| 2019-10-01 | An introduction to flexible methods for policy evaluation | Abstract | PDF |
| 2019-10-01 | Order-Independent Structure Learning of Multivariate Regression Chain Graphs | Abstract | PDF |
| 2019-10-01 | Affordable Uplift: Supervised Randomization in Controlled Experiments | Abstract | PDF |
| 2019-10-01 | Robust Learning with the Hilbert-Schmidt Independence Criterion | Abstract | PDF |
| 2019-10-01 | Analyzing Sentence Fusion in Abstractive Summarization | Abstract | PDF |
| 2019-09-30 | Interrogating the Explanatory Power of Attention in Neural Machine Translation | Abstract | PDF |
| 2019-09-30 | On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints | Abstract | PDF |
| 2019-09-29 | FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing | Abstract | PDF |
| 2019-09-29 | AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference | Abstract | PDF |
| 2019-09-29 | Learning Sparse Nonparametric DAGs | Abstract | PDF |
| 2019-09-27 | Counterfactual States for Atari Agents via Generative Deep Learning | Abstract | PDF |
| 2019-09-27 | Alleviating Privacy Attacks via Causal Learning | Abstract | PDF |
| 2019-09-26 | Learning the Difference that Makes a Difference with Counterfactually-Augmented Data | Abstract | PDF |
| 2019-09-26 | Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation | Abstract | PDF |
| 2019-09-26 | Debiased Bayesian inference for average treatment effects | Abstract | PDF |
| 2019-09-26 | Factored Probabilistic Belief Tracking | Abstract | PDF |
| 2019-09-26 | COPHY: Counterfactual Learning of Physical Dynamics | Abstract | PDF |
| 2019-09-25 | DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems | Abstract | PDF |
| 2019-09-25 | Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data | Abstract | PDF |
| 2019-09-25 | Explaining and Interpreting LSTMs | Abstract | PDF |
| 2019-09-25 | When to Intervene: Detecting Abnormal Mood using Everyday Smartphone Conversations | Abstract | PDF |
| 2019-09-23 | Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning | Abstract | PDF |
| 2019-09-23 | Quantum Inflation: A General Approach to Quantum Causal Compatibility | Abstract | PDF |
| 2019-09-23 | On Model Stability as a Function of Random Seed | Abstract | PDF |
| 2019-09-23 | CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement | Abstract | PDF |
| 2019-09-22 | Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation | Abstract | PDF |
| 2019-09-22 | Scaled Autonomy: Enabling Human Operators to Control Robot Fleets | Abstract | PDF |
| 2019-09-20 | Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation | Abstract | PDF |
| 2019-09-20 | FACE: Feasible and Actionable Counterfactual Explanations | Abstract | PDF |
| 2019-09-19 | Explaining Visual Models by Causal Attribution | Abstract | PDF |
| 2019-09-19 | Procedural Reasoning Networks for Understanding Multimodal Procedures | Abstract | PDF |
| 2019-09-18 | Causal Modeling for Fairness in Dynamical Systems | Abstract | PDF |
| 2019-09-18 | Uncovering Sociological Effect Heterogeneity using Machine Learning | Abstract | PDF |
| 2019-09-18 | Learning from Bandit Feedback: An Overview of the State-of-the-art | Abstract | PDF |
| 2019-09-18 | Semantically Interpretable Activation Maps: what-where-how explanations within CNNs | Abstract | PDF |
| 2019-09-18 | A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation | Abstract | PDF |
| 2019-09-17 | A Convergence Proof of Projected Fast Iterative Soft-thresholding Algorithm for Parallel Magnetic Resonance Imaging | Abstract | PDF |
| 2019-09-16 | Towards Unsupervised Segmentation of Extreme Weather Events | Abstract | PDF |
| 2019-09-16 | Truthful and Faithful Monetary Policy for a Stablecoin Conducted by a Decentralised, Encrypted Artificial Intelligence | Abstract | PDF |
| 2019-09-15 | Non-Causal Tracking by Deblatting | Abstract | PDF |
| 2019-09-14 | Fuzzy Knowledge-Based Architecture for Learning and Interaction in Social Robots | Abstract | PDF |
| 2019-09-13 | Explainable Machine Learning in Deployment | Abstract | PDF |
| 2019-09-12 | Learning Symbolic Physics with Graph Networks | Abstract | PDF |
| 2019-09-11 | Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models | Abstract | PDF |
| 2019-09-10 | De-biased Machine Learning for Compliers | Abstract | PDF |
| 2019-09-10 | Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference | Abstract | PDF |
| 2019-09-10 | A Bayesian Approach to Direct and Inverse Abstract Argumentation Problems | Abstract | PDF |
| 2019-09-10 | Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control | Abstract | PDF |
| 2019-09-10 | A Benchmark Dataset for Learning to Intervene in Online Hate Speech | Abstract | PDF |
| 2019-09-10 | NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks | Abstract | PDF |
| 2019-09-09 | Counterfactual Story Reasoning and Generation | Abstract | PDF |
| 2019-09-09 | Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors | Abstract | PDF |
| 2019-09-09 | Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network | Abstract | PDF |
| 2019-09-07 | AutoML for Contextual Bandits | Abstract | PDF |
| 2019-09-06 | A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks | Abstract | PDF |
| 2019-09-04 | On the k-synchronizability of systems | Abstract | PDF |
| 2019-09-04 | Likelihood-Free Overcomplete ICA and Applications in Causal Discovery | Abstract | PDF |
| 2019-09-03 | Large-Scale Local Causal Inference of Gene Regulatory Relationships | Abstract | PDF |
| 2019-09-03 | Embedding Symbolic Knowledge into Deep Networks | Abstract | PDF |
| 2019-09-03 | Counterfactual Depth from a Single RGB Image | Abstract | PDF |
| 2019-09-02 | It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution | Abstract | PDF |
| 2019-09-02 | Unifying Causal Models with Trek Rules | Abstract | PDF |
| 2019-09-02 | Causal Discovery by Kernel Intrinsic Invariance Measure | Abstract | PDF |
| 2019-08-30 | Counterfactual Risk Assessments, Evaluation, and Fairness | Abstract | PDF |
| 2019-08-27 | Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations | Abstract | PDF |
| 2019-08-27 | Model Selection With Graphical Neighbour Information | Abstract | PDF |
| 2019-08-26 | Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks | Abstract | PDF |
| 2019-08-25 | The Ridge Path Estimator for Linear Instrumental Variables | Abstract | PDF |
| 2019-08-24 | Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning | Abstract | PDF |
| 2019-08-22 | Online Inference for Advertising Auctions | Abstract | PDF |
| 2019-08-20 | Reinforcement Learning is not a Causal problem | Abstract | PDF |
| 2019-08-20 | Data Management for Causal Algorithmic Fairness | Abstract | PDF |
| 2019-08-20 | Counterfactual Distribution Regression for Structured Inference | Abstract | PDF |
| 2019-08-19 | Alliances and Conflict, or Conflict and Alliances? Appraising the Causal Effect of Alliances on Conflict | Abstract | PDF |
| 2019-08-19 | Semi-Implicit Graph Variational Auto-Encoders | Abstract | PDF |
| 2019-08-19 | Gradient Methods for Solving Stackelberg Games | Abstract | PDF |
| 2019-08-19 | Fine-grained Sentiment Analysis with Faithful Attention | Abstract | PDF |
| 2019-08-18 | A Multi-level Neural Network for Implicit Causality Detection in Web Texts | Abstract | PDF |
| 2019-08-17 | EmotionX-IDEA: Emotion BERT -- an Affectional Model for Conversation | Abstract | PDF |
| 2019-08-16 | Higher-Order Visualization of Causal Structures in Dynamics Graphs | Abstract | PDF |
| 2019-08-14 | Uplift Modeling for Multiple Treatments with Cost Optimization | Abstract | PDF |
| 2019-08-14 | The History of Digital Spam | Abstract | PDF |
2019 / 8 / 14
| Date | Title | Links |
|---|---|---|
| 2019-08-13 | Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching | Abstract | PDF |
| 2019-08-13 | Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective | Abstract | PDF |
| 2019-08-13 | Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking | Abstract | PDF |
| 2019-08-11 | Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables | Abstract | PDF |
| 2019-08-11 | Transcriptional Response of SK-N-AS Cells to Methamidophos | Abstract | PDF |
| 2019-08-11 | LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations | Abstract | PDF |
| 2019-08-09 | Detecting Heterogeneous Treatment Effect with Instrumental Variables | Abstract | PDF |
| 2019-08-08 | Measurable Counterfactual Local Explanations for Any Classifier | Abstract | PDF |
| 2019-08-06 | Experiential AI | Abstract | PDF |
| 2019-08-02 | Efficient computation of counterfactual explanations of LVQ models | Abstract | PDF |
| 2019-07-31 | DROGON: A Causal Reasoning Framework for Future Trajectory Forecast | Abstract | PDF |
| 2019-07-30 | Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning | Abstract | PDF |
| 2019-07-29 | The Challenge of Imputation in Explainable Artificial Intelligence Models | Abstract | PDF |
| 2019-07-29 | Bandits with Feedback Graphs and Switching Costs | Abstract | PDF |
| 2019-07-26 | Learning Task Specifications from Demonstrations via the Principle of Maximum Causal Entropy | Abstract | PDF |
| 2019-07-26 | von Neumann-Morgenstern and Savage Theorems for Causal Decision Making | Abstract | PDF |
| 2019-07-26 | On the Value of Bandit Feedback for Offline Recommender System Evaluation | Abstract | PDF |
| 2019-07-24 | Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products | Abstract | PDF |
| 2019-07-24 | Towards Logical Specification of Statistical Machine Learning | Abstract | PDF |
| 2019-07-24 | Info Intervention | Abstract | PDF |
| 2019-07-24 | One-Shot Mutual Affine-Transfer for Photorealistic Stylization | Abstract | PDF |
| 2019-07-23 | Off-policy Learning for Multiple Loggers | Abstract | PDF |
| 2019-07-22 | Low-Variance and Zero-Variance Baselines for Extensive-Form Games | Abstract | PDF |
| 2019-07-22 | Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems | Abstract | PDF |
| 2019-07-22 | VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions | Abstract | PDF |
| 2019-07-22 | The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations | Abstract | PDF |
| 2019-07-18 | A discriminative approach for finding and characterizing positivity violations using decision trees | Abstract | PDF |
| 2019-07-18 | ELG: An Event Logic Graph | Abstract | PDF |
| 2019-07-16 | Explaining Classifiers with Causal Concept Effect (CaCE) | Abstract | PDF |
| 2019-07-15 | Audits as Evidence: Experiments, Ensembles, and Enforcement | Abstract | PDF |
| 2019-07-15 | A Causal Bayesian Networks Viewpoint on Fairness | Abstract | PDF |
| 2019-07-14 | Counterfactual Reasoning for Fair Clinical Risk Prediction | Abstract | PDF |
| 2019-07-14 | Task Selection Policies for Multitask Learning | Abstract | PDF |
| 2019-07-12 | Saliency Maps Generation for Automatic Text Summarization | Abstract | PDF |
| 2019-07-12 | From Observability to Significance in Distributed Information Systems | Abstract | PDF |
| 2019-07-11 | Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle | Abstract | PDF |
| 2019-07-11 | Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations | Abstract | PDF |
| 2019-07-10 | Explaining an increase in predicted risk for clinical alerts | Abstract | PDF |
| 2019-07-10 | Quantifying Error in the Presence of Confounders for Causal Inference | Abstract | PDF |
| 2019-07-10 | Representing Attitudes Towards Ambiguity in Managerial Decisions | Abstract | PDF |
| 2019-07-10 | Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) | Abstract | PDF |
| 2019-07-09 | Characterization of Overlap in Observational Studies | Abstract | PDF |
| 2019-07-09 | Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference | Abstract | PDF |
| 2019-07-09 | Conditional Independence Testing using Generative Adversarial Networks | Abstract | PDF |
| 2019-07-08 | Generalized Control Functions via Variational Decoupling | Abstract | PDF |
| 2019-07-06 | Generative Counterfactual Introspection for Explainable Deep Learning | Abstract | PDF |
| 2019-07-06 | Human detection of machine manipulated media | Abstract | PDF |
| 2019-07-05 | Invariant Risk Minimization | Abstract | PDF |
| 2019-07-04 | Explaining Predictions from Tree-based Boosting Ensembles | Abstract | PDF |
| 2019-07-04 | On Open-Universe Causal Reasoning | Abstract | PDF |
| 2019-07-03 | Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients | Abstract | PDF |
| 2019-07-03 | Circuit-Based Intrinsic Methods to Detect Overfitting | Abstract | PDF |
| 2019-07-03 | Interpretable Counterfactual Explanations Guided by Prototypes | Abstract | PDF |
| 2019-07-02 | Adjustment Criteria for Recovering Causal Effects from Missing Data | Abstract | PDF |
| 2019-07-02 | Reproducibility in Machine Learning for Health | Abstract | PDF |
| 2019-07-01 | The Sensitivity of Counterfactual Fairness to Unmeasured Confounding | Abstract | PDF |
| 2019-06-30 | Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks | Abstract | PDF |
| 2019-06-30 | Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning | Abstract | PDF |
| 2019-06-29 | Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates | Abstract | PDF |
| 2019-06-29 | Identification In Missing Data Models Represented By Directed Acyclic Graphs | Abstract | PDF |
| 2019-06-29 | Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | Abstract | PDF |
| 2019-06-29 | Causal Inference Under Interference And Network Uncertainty | Abstract | PDF |
| 2019-06-28 | The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection | Abstract | PDF |
| 2019-06-28 | Causal Regularization | Abstract | PDF |
| 2019-06-28 | Direct Estimation of Difference Between Structural Equation Models in High Dimensions | Abstract | PDF |
| 2019-06-27 | Interpretable Almost-Matching-Exactly With Instrumental Variables | Abstract | PDF |
| 2019-06-27 | Approximate Causal Abstraction | Abstract | PDF |
| 2019-06-26 | Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps | Abstract | PDF |
| 2019-06-26 | Rethinking Formal Models of Partially Observable Multiagent Decision Making | Abstract | PDF |
| 2019-06-25 | Explaining Deep Learning Models with Constrained Adversarial Examples | Abstract | PDF |
| 2019-06-25 | A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls | Abstract | PDF |
| 2019-06-25 | An Unsupervised Bayesian Neural Network for Truth Discovery | Abstract | PDF |
| 2019-06-25 | Learning Causal State Representations of Partially Observable Environments | Abstract | PDF |
| 2019-06-24 | GANalyze: Toward Visual Definitions of Cognitive Image Properties | Abstract | PDF |
| 2019-06-24 | Deep Exemplar-based Video Colorization | Abstract | PDF |
| 2019-06-24 | Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding | Abstract | PDF |
| 2019-06-24 | Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU | Abstract | PDF |
| 2019-06-21 | Generating Counterfactual and Contrastive Explanations using SHAP | Abstract | PDF |
| 2019-06-21 | Filter Early, Match Late: Improving Network-Based Visual Place Recognition | Abstract | PDF |
| 2019-06-20 | Modeling AGI Safety Frameworks with Causal Influence Diagrams | Abstract | PDF |
| 2019-06-18 | Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment | Abstract | PDF |
| 2019-06-18 | Estimating a Manifold from a Tangent Bundle Learner | Abstract | PDF |
| 2019-06-18 | Transfer Learning for Causal Sentence Detection | Abstract | PDF |
| 2019-06-17 | A Bayesian Solution to the M-Bias Problem | Abstract | PDF |
| 2019-06-17 | Replacing the do-calculus with Bayes rule | Abstract | PDF |
| 2019-06-14 | Detecting Bias with Generative Counterfactual Face Attribute Augmentation | Abstract | PDF |
| 2019-06-14 | A Signal Propagation Perspective for Pruning Neural Networks at Initialization | Abstract | PDF |
| 2019-06-14 | Distributionally Robust Counterfactual Risk Minimization | Abstract | PDF |
| 2019-06-14 | Identify treatment effect patterns for personalised decisions | Abstract | PDF |
| 2019-06-12 | Reinforcement Knowledge Graph Reasoning for Explainable Recommendation | Abstract | PDF |
| 2019-06-12 | Joint Reasoning for Temporal and Causal Relations | Abstract | PDF |
| 2019-06-11 | Issues with post-hoc counterfactual explanations: a discussion | Abstract | PDF |
| 2019-06-11 | Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology | Abstract | PDF |
| 2019-06-11 | Efficient structure learning with automatic sparsity selection for causal graph processes | Abstract | PDF |
| 2019-06-11 | Causal Discovery with Reinforcement Learning | Abstract | PDF |
| 2019-06-11 | Probabilistic Forecasting with Temporal Convolutional Neural Network | Abstract | PDF |
| 2019-06-11 | Learning Powerful Policies by Using Consistent Dynamics Model | Abstract | PDF |
| 2019-06-10 | Estimating Causal Effects of Tone in Online Debates | Abstract | PDF |
| 2019-06-10 | E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles | Abstract | PDF |
| 2019-06-09 | Robust conditional GANs under missing or uncertain labels | Abstract | PDF |
| 2019-06-08 | Learning Individual Treatment Effects from Networked Observational Data | Abstract | PDF |
| 2019-06-07 | Detecting the Starting Frame of Actions in Video | Abstract | PDF |
| 2019-06-07 | Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck | Abstract | PDF |
| 2019-06-06 | Counterfactual Inference for Consumer Choice Across Many Product Categories | Abstract | PDF |
| 2019-06-06 | ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions | Abstract | PDF |
| 2019-06-05 | Finding Friend and Foe in Multi-Agent Games | Abstract | PDF |
| 2019-06-05 | Gradient-Based Neural DAG Learning | Abstract | PDF |
| 2019-06-05 | Adapting Neural Networks for the Estimation of Treatment Effects | Abstract | PDF |
| 2019-06-05 | CCMI : Classifier based Conditional Mutual Information Estimation | Abstract | PDF |
| 2019-06-05 | Prediction of Workplace Injuries | Abstract | PDF |
| 2019-06-04 | Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation | Abstract | PDF |
| 2019-06-04 | The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis | Abstract | PDF |
| 2019-06-04 | Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds | Abstract | PDF |
| 2019-06-04 | RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction | Abstract | PDF |
| 2019-06-04 | From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification | Abstract | PDF |
| 2019-06-03 | 2019 Evolutionary Algorithms Review | Abstract | PDF |
| 2019-06-02 | An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference | Abstract | PDF |
| 2019-06-01 | Kernel Instrumental Variable Regression | Abstract | PDF |
| 2019-06-01 | Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes | Abstract | PDF |
| 2019-05-31 | Symbol Emergence as an Interpersonal Multimodal Categorization | Abstract | PDF |
| 2019-05-30 | Rarely-switching linear bandits: optimization of causal effects for the real world | Abstract | PDF |
| 2019-05-30 | Multiple Causes: A Causal Graphical View | Abstract | PDF |
| 2019-05-29 | The Label Complexity of Active Learning from Observational Data | Abstract | PDF |
| 2019-05-29 | Using Text Embeddings for Causal Inference | Abstract | PDF |
| 2019-05-29 | Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach | Abstract | PDF |
| 2019-05-29 | Evaluating structure learning algorithms with a balanced scoring function | Abstract | PDF |
| 2019-05-29 | Private Causal Inference using Propensity Scores | Abstract | PDF |
| 2019-05-29 | Deep Generalized Method of Moments for Instrumental Variable Analysis | Abstract | PDF |
| 2019-05-28 | Semi-Supervised Learning, Causality and the Conditional Cluster Assumption | Abstract | PDF |
| 2019-05-28 | Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions | Abstract | PDF |
| 2019-05-28 | Causal Confusion in Imitation Learning | Abstract | PDF |
| 2019-05-28 | Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy | Abstract | PDF |
| 2019-05-27 | Ancestral causal learning in high dimensions with a human genome-wide application | Abstract | PDF |
| 2019-05-27 | Model-Agnostic Counterfactual Explanations for Consequential Decisions | Abstract | PDF |
| 2019-05-27 | Explainable Reinforcement Learning Through a Causal Lens | Abstract | PDF |
| 2019-05-27 | Learning Policies from Human Data for Skat | Abstract | PDF |
| 2019-05-26 | Equal Opportunity and Affirmative Action via Counterfactual Predictions | Abstract | PDF |
| 2019-05-26 | Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models | Abstract | PDF |
| 2019-05-26 | When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums | Abstract | PDF |
| 2019-05-25 | HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference | Abstract | PDF |
| 2019-05-24 | Dirac Delta Regression: Conditional Density Estimation with Clinical Trials | Abstract | PDF |
| 2019-05-24 | Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments | Abstract | PDF |
| 2019-05-23 | Augmenting correlation structures in spatial data using deep generative models | Abstract | PDF |
| 2019-05-23 | From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use | Abstract | PDF |
| 2019-05-23 | Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring | Abstract | PDF |
| 2019-05-23 | Causal Discovery with Cascade Nonlinear Additive Noise Models | Abstract | PDF |
| 2019-05-21 | A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks | Abstract | PDF |
| 2019-05-20 | Conditionally-additive-noise Models for Structure Learning | Abstract | PDF |
| 2019-05-20 | Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems | Abstract | PDF |
| 2019-05-20 | Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning | Abstract | PDF |
| 2019-05-20 | CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models | Abstract | PDF |
| 2019-05-19 | Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations | Abstract | PDF |
| 2019-05-17 | Contrastive Algorithmic Fairness: Part 1 (Theory) | Abstract | PDF |
| 2019-05-17 | How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins | Abstract | PDF |
| 2019-05-16 | Stability of Linear Structural Equation Models of Causal Inference | Abstract | PDF |
| 2019-05-16 | MoGlow: Probabilistic and controllable motion synthesis using normalising flows | Abstract | PDF |
| 2019-05-16 | Additive Adversarial Learning for Unbiased Authentication | Abstract | PDF |
| 2019-05-14 | Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models | Abstract | PDF |
| 2019-05-14 | Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice | Abstract | PDF |
| 2019-05-14 | Experimental Evaluation of Individualized Treatment Rules | Abstract | PDF |
| 2019-05-11 | Explainable AI for Trees: From Local Explanations to Global Understanding | Abstract | PDF |
| 2019-05-11 | Boosting Generative Models by Leveraging Cascaded Meta-Models | Abstract | PDF |
| 2019-05-11 | Learning Robotic Manipulation through Visual Planning and Acting | Abstract | PDF |
| 2019-05-09 | Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack | Abstract | PDF |
| 2019-05-08 | Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines | Abstract | PDF |
| 2019-05-06 | Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data | Abstract | PDF |
| 2019-05-04 | Detecting Pathogenic Social Media Accounts without Content or Network Structure | Abstract | PDF |
| 2019-05-04 | An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter | Abstract | PDF |
| 2019-05-02 | Visualizing Deep Networks by Optimizing with Integrated Gradients | Abstract | PDF |
| 2019-04-30 | Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data | Abstract | PDF |
| 2019-04-30 | Online Causal Structure Learning in the Presence of Latent Variables | Abstract | PDF |
| 2019-04-30 | Efficiently Checking Actual Causality with SAT Solving | Abstract | PDF |
| 2019-04-29 | Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud | Abstract | PDF |
| 2019-04-29 | DeLiO: Decoupled LiDAR Odometry | Abstract | PDF |
| 2019-04-28 | Optimizing regularized Cholesky score for order-based learning of Bayesian networks | Abstract | PDF |
| 2019-04-26 | Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding | Abstract | PDF |
| 2019-04-26 | Distributed Classification of Urban Congestion Using VANET | Abstract | PDF |
| 2019-04-26 | Neural Ideal Point Estimation Network | Abstract | PDF |
| 2019-04-24 | Mercator: uncovering faithful hyperbolic embeddings of complex networks | Abstract | PDF |
| 2019-04-24 | Solving zero-sum extensive-form games with arbitrary payoff uncertainty models | Abstract | PDF |
| 2019-04-24 | Beauty Learning and Counterfactual Inference | Abstract | PDF |
| 2019-04-23 | Risk Structures: Towards Engineering Risk-aware Autonomous Systems | Abstract | PDF |
2019 / 4 / 23
| Date | Title | Links |
|---|---|---|
| 2019-04-19 | Transfer Entropy: where Shannon meets Turing | Abstract | PDF |
| 2019-04-19 | Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA | Abstract | PDF |
| 2019-04-18 | Exploring the Limitations of Behavior Cloning for Autonomous Driving | Abstract | PDF |
| 2019-04-18 | Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding | Abstract | PDF |
| 2019-04-18 | Learning to Collocate Neural Modules for Image Captioning | Abstract | PDF |
| 2019-04-17 | Explainability in Human-Agent Systems | Abstract | PDF |
| 2019-04-17 | People infer recursive visual concepts from just a few examples | Abstract | PDF |
| 2019-04-16 | Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings | Abstract | PDF |
| 2019-04-16 | Counterfactual Visual Explanations | Abstract | PDF |
| 2019-04-11 | Compressing deep neural networks by matrix product operators | Abstract | PDF |
| 2019-04-11 | Deep Neural Network Ensembles | Abstract | PDF |
| 2019-04-10 | Scanner Invariant Representations for Diffusion MRI Harmonization | Abstract | PDF |
| 2019-04-10 | Active Learning for Decision-Making from Imbalanced Observational Data | Abstract | PDF |
| 2019-04-08 | On assumption-free tests and confidence intervals for causal effects estimated by machine learning | Abstract | PDF |
| 2019-04-08 | Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis | Abstract | PDF |
| 2019-04-08 | The Kikuchi Hierarchy and Tensor PCA | Abstract | PDF |
| 2019-04-07 | A unifying approach for doubly-robust |
Abstract | PDF |
| 2019-04-07 | Modularized Textual Grounding for Counterfactual Resilience | Abstract | PDF |
| 2019-04-06 | Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation | Abstract | PDF |
| 2019-04-06 | Reinforcement Learning with Attention that Works: A Self-Supervised Approach | Abstract | PDF |
| 2019-04-04 | What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems | Abstract | PDF |
| 2019-04-04 | UU-Nets Connecting Discriminator and Generator for Image to Image Translation | Abstract | PDF |
| 2019-04-03 | Robust Multi-agent Counterfactual Prediction | Abstract | PDF |
| 2019-04-03 | The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs) | Abstract | PDF |
| 2019-04-03 | OpBerg: Discovering causal sentences using optimal alignments | Abstract | PDF |
| 2019-04-02 | Synthetic learner: model-free inference on treatments over time | Abstract | PDF |
| 2019-04-01 | Dynamically optimal treatment allocation using Reinforcement Learning | Abstract | PDF |
| 2019-04-01 | Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning | Abstract | PDF |
| 2019-04-01 | Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach | Abstract | PDF |
| 2019-03-30 | On Arrhythmia Detection by Deep Learning and Multidimensional Representation | Abstract | PDF |
| 2019-03-29 | Interpreting Black Box Models with Statistical Guarantees | Abstract | PDF |
| 2019-03-27 | Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality | Abstract | PDF |
| 2019-03-27 | Generalized Off-Policy Actor-Critic | Abstract | PDF |
| 2019-03-27 | On Attribution of Recurrent Neural Network Predictions via Additive Decomposition | Abstract | PDF |
| 2019-03-25 | End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations | Abstract | PDF |
| 2019-03-24 | Machine Learning Methods Economists Should Know About | Abstract | PDF |
| 2019-03-22 | Impulse Response and Granger Causality in Dynamical Systems with Autoencoder Nonlinear Vector Autoregressions | Abstract | PDF |
| 2019-03-18 | Counterpoint by Convolution | Abstract | PDF |
| 2019-03-16 | Emotion Action Detection and Emotion Inference: the Task and Dataset | Abstract | PDF |
| 2019-03-14 | Recurrence required to capture the dynamic computations of the human ventral visual stream | Abstract | PDF |
| 2019-03-14 | Attribution-driven Causal Analysis for Detection of Adversarial Examples | Abstract | PDF |
| 2019-03-13 | Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks | Abstract | PDF |
| 2019-03-13 | Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent | Abstract | PDF |
| 2019-03-12 | Testing Conditional Independence on Discrete Data using Stochastic Complexity | Abstract | PDF |
| 2019-03-11 | Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns | Abstract | PDF |
| 2019-03-11 | Blameworthiness in Multi-Agent Settings | Abstract | PDF |
| 2019-03-09 | Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes | Abstract | PDF |
| 2019-03-08 | Based on Graph-VAE Model to Predict Student's Score | Abstract | PDF |
| 2019-03-06 | A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder | Abstract | PDF |
| 2019-03-06 | Orthogonal Structure Search for Efficient Causal Discovery from Observational Data | Abstract | PDF |
| 2019-03-06 | Causal Discovery Toolbox: Uncover causal relationships in Python | Abstract | PDF |
| 2019-03-06 | Dixit: Interactive Visual Storytelling via Term Manipulation | Abstract | PDF |
| 2019-03-05 | Size of Interventional Markov Equivalence Classes in Random DAG Models | Abstract | PDF |
| 2019-03-05 | Lenses and Learners | Abstract | PDF |
| 2019-03-05 | The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality | Abstract | PDF |
| 2019-03-05 | Causal Discovery from Heterogeneous/Nonstationary Data | Abstract | PDF |
| 2019-03-04 | Using Causal Analysis to Learn Specifications from Task Demonstrations | Abstract | PDF |
| 2019-03-04 | Differentiable Causal Computations via Delayed Trace | Abstract | PDF |
| 2019-03-02 | FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration | Abstract | PDF |
| 2019-03-01 | Machine learning in policy evaluation: new tools for causal inference | Abstract | PDF |
| 2019-02-28 | The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics | Abstract | PDF |
| 2019-02-28 | Model Agnostic High-Dimensional Error-in-Variable Regression | Abstract | PDF |
| 2019-02-27 | Machine learning for subgroup discovery under treatment effect | Abstract | PDF |
| 2019-02-27 | On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives | Abstract | PDF |
| 2019-02-26 | Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis | Abstract | PDF |
| 2019-02-26 | Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings | Abstract | PDF |
| 2019-02-25 | Deep Bayesian Multi-Target Learning for Recommender Systems | Abstract | PDF |
| 2019-02-24 | Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace? | Abstract | PDF |
| 2019-02-22 | From open learners to open games | Abstract | PDF |
| 2019-02-21 | Capuchin: Causal Database Repair for Algorithmic Fairness | Abstract | PDF |
| 2019-02-21 | Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering | Abstract | PDF |
| 2019-02-14 | Adversarially Approximated Autoencoder for Image Generation and Manipulation | Abstract | PDF |
| 2019-02-14 | Classifying Treatment Responders Under Causal Effect Monotonicity | Abstract | PDF |
| 2019-02-13 | Stable-Predictive Optimistic Counterfactual Regret Minimization | Abstract | PDF |
| 2019-02-13 | Distributionally Robust Multi-instance Learning with Stable Instances | Abstract | PDF |
| 2019-02-12 | Weighted Tensor Completion for Time-Series Causal Inference | Abstract | PDF |
| 2019-02-12 | Gaussian Mean Field Regularizes by Limiting Learned Information | Abstract | PDF |
| 2019-02-12 | Preferences Implicit in the State of the World | Abstract | PDF |
| 2019-02-11 | Using Embeddings to Correct for Unobserved Confounding | Abstract | PDF |
| 2019-02-11 | Divergence-Based Motivation for Online EM and Combining Hidden Variable Models | Abstract | PDF |
| 2019-02-09 | Multi-Domain Translation by Learning Uncoupled Autoencoders | Abstract | PDF |
| 2019-02-09 | When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks | Abstract | PDF |
| 2019-02-08 | Source Traces for Temporal Difference Learning | Abstract | PDF |
| 2019-02-07 | Cost-Effective Incentive Allocation via Structured Counterfactual Inference | Abstract | PDF |
| 2019-02-06 | Neural Network Attributions: A Causal Perspective | Abstract | PDF |
| 2019-02-06 | A Guiding Principle for Causal Decision Problems | Abstract | PDF |
| 2019-02-05 | Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data | Abstract | PDF |
| 2019-02-04 | Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach | Abstract | PDF |
| 2019-02-03 | Learning Counterfactual Representations for Estimating Individual Dose-Response Curves | Abstract | PDF |
| 2019-02-02 | High-dimensional semi-supervised learning: in search for optimal inference of the mean | Abstract | PDF |
| 2019-02-02 | Learning Linear Dynamical Systems with Semi-Parametric Least Squares | Abstract | PDF |
| 2019-02-02 | Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation | Abstract | PDF |
| 2019-02-01 | Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders | Abstract | PDF |
| 2019-02-01 | Causal Simulations for Uplift Modeling | Abstract | PDF |
| 2019-02-01 | Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network | Abstract | PDF |
| 2019-01-31 | Learning Triggers for Heterogeneous Treatment Effects | Abstract | PDF |
| 2019-01-31 | Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures | Abstract | PDF |
| 2019-01-30 | Natural Analysts in Adaptive Data Analysis | Abstract | PDF |
| 2019-01-30 | A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms | Abstract | PDF |
| 2019-01-30 | Unsupervised Scalable Representation Learning for Multivariate Time Series | Abstract | PDF |
2019 / 1 / 28
| Date | Title | Links |
|---|---|---|
| 2019-01-25 | Bayesian surrogate learning in dynamic simulator-based regression problems | Abstract | PDF |
| 2019-01-24 | Learning Interpretable Models with Causal Guarantees | Abstract | PDF |
| 2019-01-24 | Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems | Abstract | PDF |
| 2019-01-24 | Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data | Abstract | PDF |
| 2019-01-23 | Causal Reasoning from Meta-reinforcement Learning | Abstract | PDF |
| 2019-01-22 | Single Deep Counterfactual Regret Minimization | Abstract | PDF |
| 2019-01-22 | Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing? | Abstract | PDF |
| 2019-01-22 | Generation High resolution 3D model from natural language by Generative Adversarial Network | Abstract | PDF |
| 2019-01-21 | DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets | Abstract | PDF |
| 2019-01-21 | We Are Not Your Real Parents: Telling Causal from Confounded using MDL | Abstract | PDF |
| 2019-01-18 | Theory of Minds: Understanding Behavior in Groups Through Inverse Planning | Abstract | PDF |
| 2019-01-15 | Imitation-Regularized Offline Learning | Abstract | PDF |
| 2019-01-14 | A Modern Retrospective on Probabilistic Numerics | Abstract | PDF |
| 2019-01-11 | Non-Parametric Inference Adaptive to Intrinsic Dimension | Abstract | PDF |
| 2019-01-11 | On Event Causality Detection in Tweets | Abstract | PDF |
| 2019-01-10 | Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models | Abstract | PDF |
| 2019-01-09 | What do Language Representations Really Represent? | Abstract | PDF |
| 2019-01-09 | Estimating Buildings' Parameters over Time Including Prior Knowledge | Abstract | PDF |
| 2019-01-07 | On the effect of the activation function on the distribution of hidden nodes in a deep network | Abstract | PDF |
| 2019-01-06 | Causality and Bayesian network PDEs for multiscale representations of porous media | Abstract | PDF |
| 2019-01-03 | A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs | Abstract | PDF |
| 2019-01-02 | Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias | Abstract | PDF |
| 2019-01-02 | Efficient Search for Diverse Coherent Explanations | Abstract | PDF |
| 2019-01-01 | Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology | Abstract | PDF |
| 2018-12-31 | Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach | Abstract | PDF |
| 2018-12-28 | Learning to Reconstruct Shapes from Unseen Classes | Abstract | PDF |
| 2018-12-27 | Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition | Abstract | PDF |
| 2018-12-27 | Double Neural Counterfactual Regret Minimization | Abstract | PDF |
2018 / 12 / 27
| Date | Title | Links |
|---|---|---|
| 2018-12-25 | Dropout Regularization in Hierarchical Mixture of Experts | Abstract | PDF |
| 2018-12-25 | Goal-based Course Recommendation | Abstract | PDF |
| 2018-12-24 | Bayesian Causal Inference | Abstract | PDF |
| 2018-12-22 | Modified Causal Forests for Estimating Heterogeneous Causal Effects | Abstract | PDF |
| 2018-12-21 | Stochastic Doubly Robust Gradient | Abstract | PDF |
| 2018-12-20 | Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score | Abstract | PDF |
| 2018-12-20 | cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU | Abstract | PDF |
| 2018-12-19 | Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks | Abstract | PDF |
| 2018-12-18 | Hybrid Loss for Learning Single-Image-based HDR Reconstruction | Abstract | PDF |
| 2018-12-15 | Balanced Linear Contextual Bandits | Abstract | PDF |
| 2018-12-15 | Causal Identification under Markov Equivalence | Abstract | PDF |
| 2018-12-14 | Inferring the size of the causal universe: features and fusion of causal attribution networks | Abstract | PDF |
| 2018-12-11 | Predictive Learning on Sign-Valued Hidden Markov Trees | Abstract | PDF |
| 2018-12-11 | Learning Predictive Models That Transport | Abstract | PDF |
| 2018-12-10 | Abstracting Causal Models | Abstract | PDF |
| 2018-12-08 | Weighted Risk Minimization & Deep Learning | Abstract | PDF |
| 2018-12-08 | Counterfactuals uncover the modular structure of deep generative models | Abstract | PDF |
| 2018-12-07 | seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention | Abstract | PDF |
| 2018-12-07 | ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst | Abstract | PDF |
| 2018-12-07 | EventNet: Asynchronous recursive event processing | Abstract | PDF |
| 2018-12-06 | Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation | Abstract | PDF |
| 2018-12-04 | Multimodal Explanations by Predicting Counterfactuality in Videos | Abstract | PDF |
| 2018-12-03 | Generalization in anti-causal learning | Abstract | PDF |
| 2018-12-01 | Explainable Genetic Inheritance Pattern Prediction | Abstract | PDF |
| 2018-12-01 | A Probabilistic Model of Cardiac Physiology and Electrocardiograms | Abstract | PDF |
| 2018-11-30 | Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting | Abstract | PDF |
| 2018-11-29 | Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models | Abstract | PDF |
| 2018-11-29 | Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing | Abstract | PDF |
| 2018-11-27 | Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry | Abstract | PDF |
| 2018-11-26 | GAN Dissection: Visualizing and Understanding Generative Adversarial Networks | Abstract | PDF |
| 2018-11-26 | Estimating Causal Effects With Partial Covariates For Clinical Interpretability | Abstract | PDF |
| 2018-11-26 | Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring | Abstract | PDF |
2018 / 11 / 26
| Date | Title | Links |
|---|---|---|
| 2018-11-23 | Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks | Abstract | PDF |
| 2018-11-21 | Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning | Abstract | PDF |
| 2018-11-21 | Distinguishing correlation from causation using genome-wide association studies | Abstract | PDF |
| 2018-11-20 | On a hypergraph probabilistic graphical model | Abstract | PDF |
| 2018-11-20 | Causal Inference by String Diagram Surgery | Abstract | PDF |
| 2018-11-17 | Recurrence to the Rescue: Towards Causal Spatiotemporal Representations | Abstract | PDF |
| 2018-11-17 | Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach | Abstract | PDF |
| 2018-11-16 | Machine Decisions and Human Consequences | Abstract | PDF |
| 2018-11-15 | HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty | Abstract | PDF |
| 2018-11-15 | Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search | Abstract | PDF |
| 2018-11-15 | Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation | Abstract | PDF |
| 2018-11-14 | Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions | Abstract | PDF |
| 2018-11-13 | Interpretable Credit Application Predictions With Counterfactual Explanations | Abstract | PDF |
| 2018-11-12 | When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation | Abstract | PDF |
| 2018-11-11 | Unifying Gaussian LWF and AMP Chain Graphs to Model Interference | Abstract | PDF |
| 2018-11-11 | Explaining Deep Learning Models using Causal Inference | Abstract | PDF |
| 2018-11-08 | Information Flow in Pregroup Models of Natural Language | Abstract | PDF |
| 2018-11-07 | Contrastive Explanation: A Structural-Model Approach | Abstract | PDF |
| 2018-11-07 | Policy Certificates: Towards Accountable Reinforcement Learning | Abstract | PDF |
| 2018-11-06 | CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning | Abstract | PDF |
| 2018-11-06 | Multi-channel discourse as an indicator for Bitcoin price and volume movements | Abstract | PDF |
| 2018-11-06 | Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning | Abstract | PDF |
| 2018-11-05 | ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion | Abstract | PDF |
| 2018-11-01 | Modeling Attention Flow on Graphs | Abstract | PDF |
| 2018-11-01 | Horizon: Facebook's Open Source Applied Reinforcement Learning Platform | Abstract | PDF |
| 2018-11-01 | Deep Counterfactual Regret Minimization | Abstract | PDF |
| 2018-10-31 | Interventional Robustness of Deep Latent Variable Models | Abstract | PDF |
| 2018-10-31 | On Fast Leverage Score Sampling and Optimal Learning | Abstract | PDF |
| 2018-10-30 | Discovering state-parameter mappings in subsurface models using generative adversarial networks | Abstract | PDF |
| 2018-10-30 | Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding | Abstract | PDF |
| 2018-10-29 | Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality | Abstract | PDF |
| 2018-10-28 | Experimental Design for Cost-Aware Learning of Causal Graphs | Abstract | PDF |
| 2018-10-28 | Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction | Abstract | PDF |
| 2018-10-28 | Identifying Causal Structure in Large-Scale Kinetic Systems | Abstract | PDF |
| 2018-10-27 | Removing Hidden Confounding by Experimental Grounding | Abstract | PDF |
| 2018-10-26 | Finding dissimilar explanations in Bayesian networks: Complexity results | Abstract | PDF |
| 2018-10-26 | Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization | Abstract | PDF |
2018 / 10 / 24
| Date | Title | Links |
|---|---|---|
| 2018-10-23 | Meta-Learning Multi-task Communication | Abstract | PDF |
| 2018-10-22 | Properties of an N Time-Slice Dynamic Chain Event Graph | Abstract | PDF |
| 2018-10-21 | Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing | Abstract | PDF |
| 2018-10-19 | Intrinsic Social Motivation via Causal Influence in Multi-Agent RL | Abstract | PDF |
| 2018-10-18 | An Upper Bound for Random Measurement Error in Causal Discovery | Abstract | PDF |
| 2018-10-17 | Adversarial Balancing for Causal Inference | Abstract | PDF |
| 2018-10-16 | Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences | Abstract | PDF |
| 2018-10-16 | Hunting for Discriminatory Proxies in Linear Regression Models | Abstract | PDF |
| 2018-10-14 | Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information | Abstract | PDF |
| 2018-10-13 | Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility | Abstract | PDF |
| 2018-10-13 | Point Cloud GAN | Abstract | PDF |
| 2018-10-10 | Deep Recurrent Level Set for Segmenting Brain Tumors | Abstract | PDF |
| 2018-10-10 | Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information | Abstract | PDF |
2018 / 10 / 10
| Date | Title | Links |
|---|---|---|
| 2018-10-08 | Optimizing Waiting Thresholds Within A State Machine | Abstract | PDF |
| 2018-10-07 | Solving Large Sequential Games with the Excessive Gap Technique | Abstract | PDF |
| 2018-10-05 | Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding | Abstract | PDF |
| 2018-10-05 | High-Dimensional Poisson DAG Model Learning Using |
Abstract | PDF |
| 2018-10-02 | Contextual Multi-Armed Bandits for Causal Marketing | Abstract | PDF |
| 2018-10-01 | Challenges of Using Text Classifiers for Causal Inference | Abstract | PDF |
| 2018-10-01 | Counterfactually Fair Prediction Using Multiple Causal Models | Abstract | PDF |
| 2018-10-01 | Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks | Abstract | PDF |
| 2018-09-30 | 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image | Abstract | PDF |
| 2018-09-28 | HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting | Abstract | PDF |
| 2018-09-27 | Estimation of Personalized Effects Associated With Causal Pathways | Abstract | PDF |
| 2018-09-27 | Controllable Neural Story Generation via Reinforcement Learning | Abstract | PDF |
| 2018-09-27 | Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models | Abstract | PDF |
| 2018-09-27 | Counterfactual Fairness in Text Classification through Robustness | Abstract | PDF |
| 2018-09-26 | Deep Neural Networks for Estimation and Inference: Application to Causal Effects and Other Semiparametric Estimands | Abstract | PDF |
2018 / 9 / 26
| Date | Title | Links |
|---|---|---|
| 2018-09-25 | A Survey of Learning Causality with Data: Problems and Methods | Abstract | PDF |
| 2018-09-25 | Early Identification of Pathogenic Social Media Accounts | Abstract | PDF |
| 2018-09-24 | Evaluating Fairness Metrics in the Presence of Dataset Bias | Abstract | PDF |
| 2018-09-23 | Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models | Abstract | PDF |
| 2018-09-23 | A Kernel Embedding-based Approach for Nonstationary Causal Model Inference | Abstract | PDF |
| 2018-09-21 | Answering the "why" in Answer Set Programming - A Survey of Explanation Approaches | Abstract | PDF |
| 2018-09-20 | Solving Large Extensive-Form Games with Strategy Constraints | Abstract | PDF |
| 2018-09-18 | A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks | Abstract | PDF |
| 2018-09-18 | Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks | Abstract | PDF |
| 2018-09-16 | Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning | Abstract | PDF |
| 2018-09-13 | Bayesian Structure Learning by Recursive Bootstrap | Abstract | PDF |
| 2018-09-11 | Solving Imperfect-Information Games via Discounted Regret Minimization | Abstract | PDF |
| 2018-09-10 | Efficient Counterfactual Learning from Bandit Feedback | Abstract | PDF |
| 2018-09-10 | Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games | Abstract | PDF |
| 2018-09-09 | Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines | Abstract | PDF |
| 2018-09-08 | Faithful Multimodal Explanation for Visual Question Answering | Abstract | PDF |
| 2018-09-07 | Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data | Abstract | PDF |
| 2018-09-07 | A Primer on Causality in Data Science | Abstract | PDF |
| 2018-09-06 | Learning Optimal Fair Policies | Abstract | PDF |
| 2018-09-04 | Causal Explanation Analysis on Social Media | Abstract | PDF |
| 2018-08-30 | Uniform Inference in High-Dimensional Gaussian Graphical Models | Abstract | PDF |
| 2018-08-29 | PanoRoom: From the Sphere to the 3D Layout | Abstract | PDF |
| 2018-08-26 | FinBrain: When Finance Meets AI 2.0 | Abstract | PDF |
| 2018-08-25 | DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference | Abstract | PDF |
| 2018-08-24 | Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information | Abstract | PDF |
| 2018-08-23 | Transfer Learning for Estimating Causal Effects using Neural Networks | Abstract | PDF |
| 2018-08-22 | Robust Counterfactual Inferences using Feature Learning and their Applications | Abstract | PDF |
| 2018-08-22 | Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace | Abstract | PDF |
| 2018-08-21 | Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing | Abstract | PDF |
| 2018-08-20 | The Deconfounded Recommender: A Causal Inference Approach to Recommendation | Abstract | PDF |
| 2018-08-20 | Causal Discovery by Telling Apart Parents and Children | Abstract | PDF |
| 2018-08-20 | Discovering Context Specific Causal Relationships | Abstract | PDF |
| 2018-08-18 | Effect of secular trend in drug effectiveness study in real world data | Abstract | PDF |
| 2018-08-16 | SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference | Abstract | PDF |
| 2018-08-15 | Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption | Abstract | PDF |
| 2018-08-13 | Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms | Abstract | PDF |
| 2018-08-09 | Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects | Abstract | PDF |
| 2018-08-09 | Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms | Abstract | PDF |
| 2018-08-06 | Probabilistic Causal Analysis of Social Influence | Abstract | PDF |
2018 / 8 / 3
| Date | Title | Links |
|---|---|---|
| 2018-07-31 | Gender Bias in Neural Natural Language Processing | Abstract | PDF |
| 2018-07-30 | Causal Modeling with Probabilistic Simulation Models | Abstract | PDF |
| 2018-07-26 | Entropic Latent Variable Discovery | Abstract | PDF |
| 2018-07-26 | Differential Analysis of Directed Networks | Abstract | PDF |
| 2018-07-25 | Grounding Visual Explanations | Abstract | PDF |
| 2018-07-24 | Learning Plannable Representations with Causal InfoGAN | Abstract | PDF |
| 2018-07-22 | Learning Deep Hidden Nonlinear Dynamics from Aggregate Data | Abstract | PDF |
| 2018-07-20 | Boosting algorithms for uplift modeling | Abstract | PDF |
| 2018-07-20 | Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features | Abstract | PDF |
| 2018-07-20 | Learning the effect of latent variables in Gaussian Graphical models with unobserved variables | Abstract | PDF |
| 2018-07-18 | Video Time: Properties, Encoders and Evaluation | Abstract | PDF |
| 2018-07-18 | Machine Learning Interpretability: A Science rather than a tool | Abstract | PDF |
| 2018-07-17 | Knockoffs for the mass: new feature importance statistics with false discovery guarantees | Abstract | PDF |
| 2018-07-14 | Specular-to-Diffuse Translation for Multi-View Reconstruction | Abstract | PDF |
| 2018-07-13 | Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception | Abstract | PDF |
| 2018-07-12 | Fast Estimation of Causal Interactions using Wold Processes | Abstract | PDF |
| 2018-07-11 | Causal discovery in the presence of missing data | Abstract | PDF |
| 2018-07-10 | Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption | Abstract | PDF |
| 2018-07-10 | Algebraic Equivalence of Linear Structural Equation Models | Abstract | PDF |
| 2018-07-09 | Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders | Abstract | PDF |
| 2018-07-09 | A Sequence-to-Sequence Model for Semantic Role Labeling | Abstract | PDF |
| 2018-07-09 | Supervised Local Modeling for Interpretability | Abstract | PDF |
| 2018-07-06 | Causal Deep Information Bottleneck | Abstract | PDF |
| 2018-07-06 | Sum-Product Networks for Sequence Labeling | Abstract | PDF |
| 2018-07-05 | Representing scenarios for process evolution management | Abstract | PDF |
| 2018-07-03 | Playing against Nature: causal discovery for decision making under uncertainty | Abstract | PDF |
| 2018-07-02 | Analysis and Optimization of Deep CounterfactualValue Networks | Abstract | PDF |
| 2018-06-30 | Mammography Assessment using Multi-Scale Deep Classifiers | Abstract | PDF |
| 2018-06-29 | Bayesian Counterfactual Risk Minimization | Abstract | PDF |
| 2018-06-26 | Deep |
Abstract | PDF |
| 2018-06-26 | A Constraint-based Encoding for Domain-Independent Temporal Planning | Abstract | PDF |
| 2018-06-26 | Open the Black Box Data-Driven Explanation of Black Box Decision Systems | Abstract | PDF |
| 2018-06-26 | Generating Counterfactual Explanations with Natural Language | Abstract | PDF |
| 2018-06-26 | Causal Inference for Early Detection of Pathogenic Social Media Accounts | Abstract | PDF |
| 2018-06-25 | A Proof of the Front-Door Adjustment Formula | Abstract | PDF |
| 2018-06-25 | An Outcome Model Approach to Translating a Randomized Controlled Trial Results to a Target Population | Abstract | PDF |
| 2018-06-22 | Learning Traffic Flow Dynamics using Random Fields | Abstract | PDF |
| 2018-06-22 | Visual-Inertial Object Detection and Mapping | Abstract | PDF |
| 2018-06-22 | Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization | Abstract | PDF |
| 2018-06-21 | Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances | Abstract | PDF |
2018 / 6 / 21
| Date | Title | Links |
|---|---|---|
| 2018-06-20 | Doubly Nested Network for Resource-Efficient Inference | Abstract | PDF |
| 2018-06-20 | Towards Robust Interpretability with Self-Explaining Neural Networks | Abstract | PDF |
| 2018-06-19 | Surrogate Outcomes and Transportability | Abstract | PDF |
| 2018-06-19 | Enhancing Identification of Causal Effects by Pruning | Abstract | PDF |
| 2018-06-19 | Simplifying Probabilistic Expressions in Causal Inference | Abstract | PDF |
| 2018-06-19 | Restricted Boltzmann Machines: Introduction and Review | Abstract | PDF |
| 2018-06-18 | Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference | Abstract | PDF |
| 2018-06-18 | Flexible Collaborative Estimation of the Average Causal Effect of a Treatment using the Outcome-Highly-Adaptive Lasso | Abstract | PDF |
| 2018-06-17 | Multi-variable LSTM neural network for autoregressive exogenous model | Abstract | PDF |
| 2018-06-16 | Stable Prediction across Unknown Environments | Abstract | PDF |
| 2018-06-16 | The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks | Abstract | PDF |
| 2018-06-13 | Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models | Abstract | PDF |
| 2018-06-11 | Massively Parallel Video Networks | Abstract | PDF |
| 2018-06-09 | Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank | Abstract | PDF |
| 2018-06-09 | Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation | Abstract | PDF |
| 2018-06-08 | Pricing Engine: Estimating Causal Impacts in Real World Business Settings | Abstract | PDF |
| 2018-06-08 | Causal effects based on distributional distances | Abstract | PDF |
| 2018-06-07 | Unbiased Estimation of the Value of an Optimized Policy | Abstract | PDF |
| 2018-06-06 | Causal Interventions for Fairness | Abstract | PDF |
| 2018-06-06 | Causal Bandits with Propagating Inference | Abstract | PDF |
| 2018-06-05 | MRPC: An R package for accurate inference of causal graphs | Abstract | PDF |
| 2018-06-05 | A Primer on Causal Analysis | Abstract | PDF |
| 2018-06-04 | groupICA: Independent component analysis for grouped data | Abstract | PDF |
| 2018-06-04 | Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models | Abstract | PDF |
| 2018-06-03 | Structural Learning of Multivariate Regression Chain Graphs via Decomposition | Abstract | PDF |
| 2018-06-03 | Causal Inference with Noisy and Missing Covariates via Matrix Factorization | Abstract | PDF |
| 2018-05-31 | Learning Tree Distributions by Hidden Markov Models | Abstract | PDF |
| 2018-05-31 | Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems | Abstract | PDF |
| 2018-05-30 | Too Fast Causal Inference under Causal Insufficiency | Abstract | PDF |
| 2018-05-28 | Local Rule-Based Explanations of Black Box Decision Systems | Abstract | PDF |
| 2018-05-24 | Structure Learning from Time Series with False Discovery Control | Abstract | PDF |
| 2018-05-24 | Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation | Abstract | PDF |
| 2018-05-24 | Inverse POMDP: Inferring What You Think from What You Do | Abstract | PDF |
| 2018-05-24 | Learning and Testing Causal Models with Interventions | Abstract | PDF |
| 2018-05-24 | A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data | Abstract | PDF |
| 2018-05-24 | Stable specification search in structural equation model with latent variables | Abstract | PDF |
| 2018-05-23 | On self-play computation of equilibrium in poker | Abstract | PDF |
| 2018-05-23 | Representation Balancing MDPs for Off-Policy Policy Evaluation | Abstract | PDF |
| 2018-05-22 | Multi-task Maximum Entropy Inverse Reinforcement Learning | Abstract | PDF |
| 2018-05-22 | Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference | Abstract | PDF |
| 2018-05-22 | Confounding-Robust Policy Improvement | Abstract | PDF |
| 2018-05-22 | Maximum Causal Tsallis Entropy Imitation Learning | Abstract | PDF |
| 2018-05-21 | Multiple Causal Inference with Latent Confounding | Abstract | PDF |
| 2018-05-21 | Super learning in the SAS system | Abstract | PDF |
| 2018-05-21 | Imitating Latent Policies from Observation | Abstract | PDF |
| 2018-05-21 | A Framework and Method for Online Inverse Reinforcement Learning | Abstract | PDF |
| 2018-05-20 | Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications | Abstract | PDF |
| 2018-05-20 | Stacked Propensity Score Functions for Observational Cohorts with Oversampled Exposed Subjects | Abstract | PDF |
| 2018-05-17 | Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension | Abstract | PDF |
| 2018-05-17 | The Blessings of Multiple Causes | Abstract | PDF |
| 2018-05-16 | Generalized Strucutral Causal Models | Abstract | PDF |
| 2018-05-16 | Regularization Learning Networks | Abstract | PDF |
| 2018-05-16 | Semi-Blind Inference of Topologies and Dynamical Processes over Graphs | Abstract | PDF |
| 2018-05-15 | Causal Reasoning for Algorithmic Fairness | Abstract | PDF |
| 2018-05-14 | Faithfully Explaining Rankings in a News Recommender System | Abstract | PDF |
| 2018-05-14 | Unsupervised Intuitive Physics from Visual Observations | Abstract | PDF |
2018 / 5 / 12
| Date | Title | Links |
|---|---|---|
| 2018-05-08 | On the Conditional Logic of Simulation Models | Abstract | PDF |
| 2018-05-05 | A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias | Abstract | PDF |
| 2018-05-05 | Learning Selfie-Friendly Abstraction from Artistic Style Images | Abstract | PDF |
| 2018-05-04 | Causal programming: inference with structural causal models as finding instances of a relation | Abstract | PDF |
| 2018-05-04 | Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks | Abstract | PDF |
| 2018-05-03 | Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback | Abstract | PDF |
| 2018-05-02 | Convolutional Sequence to Sequence Model for Human Dynamics | Abstract | PDF |
| 2018-04-30 | Counterfactual Learning-to-Rank for Additive Metrics and Deep Models | Abstract | PDF |
| 2018-04-28 | Data science is science's second chance to get causal inference right: A classification of data science tasks | Abstract | PDF |
| 2018-04-24 | Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations | Abstract | PDF |
| 2018-04-24 | Mask-aware Photorealistic Face Attribute Manipulation | Abstract | PDF |
| 2018-04-18 | Forecasting the presence and intensity of hostility on Instagram using linguistic and social features | Abstract | PDF |
| 2018-04-17 | PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning | Abstract | PDF |
| 2018-04-16 | Im2Struct: Recovering 3D Shape Structure from a Single RGB Image | Abstract | PDF |
| 2018-04-15 | The EcoLexicon Semantic Sketch Grammar: from Knowledge Patterns to Word Sketches | Abstract | PDF |
| 2018-04-14 | An interpretable LSTM neural network for autoregressive exogenous model | Abstract | PDF |
| 2018-04-14 | General-purpose validation and model selection when estimating individual treatment effects | Abstract | PDF |
| 2018-04-12 | Causal Inference via Kernel Deviance Measures | Abstract | PDF |
| 2018-04-12 | Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI | Abstract | PDF |
| 2018-04-12 | Causal Generative Domain Adaptation Networks | Abstract | PDF |
| 2018-04-11 | AFA-PredNet: The action modulation within predictive coding | Abstract | PDF |
| 2018-04-11 | Reference-less Measure of Faithfulness for Grammatical Error Correction | Abstract | PDF |
| 2018-04-10 | Personalization of Health Interventions using Cluster-Based Reinforcement Learning | Abstract | PDF |
| 2018-04-10 | A Mathematical Framework for Superintelligent Machines | Abstract | PDF |
| 2018-04-09 | Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform | Abstract | PDF |
| 2018-04-08 | Expressway visibility estimation based on image entropy and piecewise stationary time series analysis | Abstract | PDF |
| 2018-04-04 | Stochastic Adversarial Video Prediction | Abstract | PDF |
| 2018-03-31 | Collaborative targeted inference from continuously indexed nuisance parameter estimators | Abstract | PDF |
| 2018-03-30 | Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems | Abstract | PDF |
| 2018-03-29 | Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond | Abstract | PDF |
| 2018-03-28 | Supervising Feature Influence | Abstract | PDF |
| 2018-03-28 | Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting | Abstract | PDF |
| 2018-03-24 | Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection | Abstract | PDF |
| 2018-03-23 | From Random Differential Equations to Structural Causal Models: the stochastic case | Abstract | PDF |
| 2018-03-21 | Efficient Structure Learning and Sampling of Bayesian Networks | Abstract | PDF |
| 2018-03-21 | Causal Inference on Discrete Data via Estimating Distance Correlations | Abstract | PDF |
| 2018-03-19 | Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation | Abstract | PDF |
| 2018-03-19 | Adversarial Generalized Method of Moments | Abstract | PDF |
| 2018-03-19 | Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures | Abstract | PDF |
| 2018-03-17 | Offloading over Time-Varying Channels in Wireless Powered Networks | Abstract | PDF |
| 2018-03-16 | Coordination via predictive assistants from a game-theoretic view | Abstract | PDF |
| 2018-03-15 | Learned Iterative Decoding for Lossy Image Compression Systems | Abstract | PDF |
| 2018-03-15 | Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models | Abstract | PDF |
2018 / 3 / 15
| Date | Title | Links |
|---|---|---|
| 2018-03-13 | SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning | Abstract | PDF |
| 2018-03-11 | Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models | Abstract | PDF |
| 2018-03-10 | ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting | Abstract | PDF |
| 2018-03-10 | A Minimax Surrogate Loss Approach to Conditional Difference Estimation | Abstract | PDF |
| 2018-03-05 | On Discrimination Discovery and Removal in Ranked Data using Causal Graph | Abstract | PDF |
| 2018-03-02 | Detecting non-causal artifacts in multivariate linear regression models | Abstract | PDF |
| 2018-03-01 | Deep Learning for Causal Inference | Abstract | PDF |
| 2018-02-28 | Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework | Abstract | PDF |
| 2018-02-28 | Computational Theories of Curiosity-Driven Learning | Abstract | PDF |
| 2018-02-28 | Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions | Abstract | PDF |
| 2018-02-26 | Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model | Abstract | PDF |
| 2018-02-26 | Disentangling the independently controllable factors of variation by interacting with the world | Abstract | PDF |
| 2018-02-25 | A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection | Abstract | PDF |
| 2018-02-23 | Is Generator Conditioning Causally Related to GAN Performance? | Abstract | PDF |
| 2018-02-23 | Learning Optimal Policies from Observational Data | Abstract | PDF |
| 2018-02-23 | Double/De-Biased Machine Learning Using Regularized Riesz Representers | Abstract | PDF |
| 2018-02-23 | Learning Weighted Representations for Generalization Across Designs | Abstract | PDF |
| 2018-02-23 | Faithful Semantical Embedding of a Dyadic Deontic Logic in HOL | Abstract | PDF |
| 2018-02-22 | Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus | Abstract | PDF |
| 2018-02-22 | Learning Causally-Generated Stationary Time Series | Abstract | PDF |
| 2018-02-22 | Path-Specific Counterfactual Fairness | Abstract | PDF |
| 2018-02-20 | How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like | Abstract | PDF |
| 2018-02-19 | Analysis of Cause-Effect Inference via Regression Errors | Abstract | PDF |
| 2018-02-19 | Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration | Abstract | PDF |
| 2018-02-19 | Heron Inference for Bayesian Graphical Models | Abstract | PDF |
| 2018-02-18 | Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism | Abstract | PDF |
2018 / 2 / 17
| Date | Title | Links |
|---|---|---|
| 2018-02-15 | DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training | Abstract | PDF |
| 2018-02-15 | Reducing over-clustering via the powered Chinese restaurant process | Abstract | PDF |
| 2018-02-14 | Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis | Abstract | PDF |
| 2018-02-14 | Prophit: Causal inverse classification for multiple continuously valued treatment policies | Abstract | PDF |
| 2018-02-06 | Granger-causal Attentive Mixtures of Experts | Abstract | PDF |
| 2018-02-06 | How to Make Causal Inferences Using Texts | Abstract | PDF |
| 2018-02-02 | Interpretable Deep Convolutional Neural Networks via Meta-learning | Abstract | PDF |
| 2018-02-02 | Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations | Abstract | PDF |
| 2018-01-31 | Nonparametric Quantile-Based Causal Discovery | Abstract | PDF |
| 2018-01-25 | Discovering Markov Blanket from Multiple interventional Datasets | Abstract | PDF |
| 2018-01-22 | Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data | Abstract | PDF |
| 2018-01-22 | Offline A/B testing for Recommender Systems | Abstract | PDF |
| 2018-01-16 | The Role of Conditional Independence in the Evolution of Intelligent Systems | Abstract | PDF |
| 2018-01-16 | Reblur2Deblur: Deblurring Videos via Self-Supervised Learning | Abstract | PDF |
| 2018-01-12 | Bayesian Quadrature for Multiple Related Integrals | Abstract | PDF |
| 2018-01-11 | Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution | Abstract | PDF |
| 2018-01-11 | Counterfactual equivalence for POMDPs, and underlying deterministic environments | Abstract | PDF |
| 2018-01-10 | Reasoning about Unforeseen Possibilities During Policy Learning | Abstract | PDF |
| 2018-01-09 | A Formalization of Kant's Second Formulation of the Categorical Imperative | Abstract | PDF |
| 2018-01-02 | Accounting for hidden common causes when inferring cause and effect from observational data | Abstract | PDF |
| 2018-01-01 | Local Causal States and Discrete Coherent Structures | Abstract | PDF |
2017 / 12 / 31
| Date | Title | Links |
|---|---|---|
| 2017-12-28 | Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels | Abstract | PDF |
| 2017-12-28 | PixelSNAIL: An Improved Autoregressive Generative Model | Abstract | PDF |
| 2017-12-24 | Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms | Abstract | PDF |
| 2017-12-22 | Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration | Abstract | PDF |
| 2017-12-21 | Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment | Abstract | PDF |
| 2017-12-21 | Robust Detection of Covariate-Treatment Interactions in Clinical Trials | Abstract | PDF |
| 2017-12-21 | Truncated Variational Sampling for "Black Box" Optimization of Generative Models | Abstract | PDF |
| 2017-12-13 | Learning Objectives for Treatment Effect Estimation | Abstract | PDF |
| 2017-12-13 | Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments | Abstract | PDF |
| 2017-12-12 | Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis | Abstract | PDF |
| 2017-12-12 | Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks | Abstract | PDF |
| 2017-12-10 | Causal Inference for Observational Time-Series with Encoder-Decoder Networks | Abstract | PDF |
| 2017-12-08 | Crime prediction through urban metrics and statistical learning | Abstract | PDF |
| 2017-12-07 | A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations | Abstract | PDF |
| 2017-12-06 | Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings | Abstract | PDF |
| 2017-12-05 | Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human--like learning | Abstract | PDF |
| 2017-12-04 | Inferring agent objectives at different scales of a complex adaptive system | Abstract | PDF |
| 2017-12-04 | Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation | Abstract | PDF |
| 2017-12-04 | Learning Independent Causal Mechanisms | Abstract | PDF |
| 2017-12-03 | Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems | Abstract | PDF |
| 2017-12-01 | Prediction-Constrained Topic Models for Antidepressant Recommendation | Abstract | PDF |
| 2017-12-01 | Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference | Abstract | PDF |
| 2017-11-30 | Radially-Distorted Conjugate Translations | Abstract | PDF |
| 2017-11-29 | Causality Refined Diagnostic Prediction | Abstract | PDF |
| 2017-11-28 | A reinforcement learning algorithm for building collaboration in multi-agent systems | Abstract | PDF |
| 2017-11-28 | CAR-Net: Clairvoyant Attentive Recurrent Network | Abstract | PDF |
| 2017-11-26 | Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary | Abstract | PDF |
| 2017-11-24 | Causal Generative Neural Networks | Abstract | PDF |
| 2017-11-23 | Identification of Strong Edges in AMP Chain Graphs | Abstract | PDF |
| 2017-11-23 | Counterfactual Learning for Machine Translation: Degeneracies and Solutions | Abstract | PDF |
| 2017-11-22 | Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition | Abstract | PDF |
| 2017-11-22 | Causal nearest neighbor rules for optimal treatment regimes | Abstract | PDF |
| 2017-11-22 | An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery | Abstract | PDF |
| 2017-11-21 | Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding | Abstract | PDF |
| 2017-11-20 | Better Agnostic Clustering Via Relaxed Tensor Norms | Abstract | PDF |
| 2017-11-19 | Estimation Considerations in Contextual Bandits | Abstract | PDF |
| 2017-11-18 | Robust Synthetic Control | Abstract | PDF |
| 2017-11-16 | Using Noisy Extractions to Discover Causal Knowledge | Abstract | PDF |
| 2017-11-15 | Good and safe uses of AI Oracles | Abstract | PDF |
| 2017-11-14 | Simulating Action Dynamics with Neural Process Networks | Abstract | PDF |
| 2017-11-14 | False Positive and Cross-relation Signals in Distant Supervision Data | Abstract | PDF |
| 2017-11-14 | The Multi-layer Information Bottleneck Problem | Abstract | PDF |
| 2017-11-14 | Unified Pragmatic Models for Generating and Following Instructions | Abstract | PDF |
| 2017-11-13 | Faithful to the Original: Fact Aware Neural Abstractive Summarization | Abstract | PDF |
| 2017-11-11 | A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction | Abstract | PDF |
| 2017-11-10 | Document Context Neural Machine Translation with Memory Networks | Abstract | PDF |
| 2017-11-09 | Exploiting ConvNet Diversity for Flooding Identification | Abstract | PDF |
| 2017-11-09 | SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements | Abstract | PDF |
| 2017-11-09 | Regret Minimization in Behaviorally-Constrained Zero-Sum Games | Abstract | PDF |
| 2017-11-03 | Partial correlation graphs and the neighborhood lattice | Abstract | PDF |
| 2017-11-02 | A Universal Marginalizer for Amortized Inference in Generative Models | Abstract | PDF |
| 2017-11-01 | TasNet: time-domain audio separation network for real-time, single-channel speech separation | Abstract | PDF |
| 2017-11-01 | Beautiful and damned. Combined effect of content quality and social ties on user engagement | Abstract | PDF |
| 2017-11-01 | Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR | Abstract | PDF |
| 2017-11-01 | Orthogonal Machine Learning: Power and Limitations | Abstract | PDF |
| 2017-10-31 | Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset | Abstract | PDF |
| 2017-10-31 | Grouping-By-ID: Guarding Against Adversarial Domain Shifts | Abstract | PDF |
| 2017-10-31 | Regret Minimization for Partially Observable Deep Reinforcement Learning | Abstract | PDF |
| 2017-10-30 | An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition | Abstract | PDF |
| 2017-10-30 | Implicit Causal Models for Genome-wide Association Studies | Abstract | PDF |
| 2017-10-25 | Sufficient and necessary causation are dual | Abstract | PDF |
| 2017-10-24 | Markov Properties for Graphical Models with Cycles and Latent Variables | Abstract | PDF |
| 2017-10-19 | Reti bayesiane per lo studio del fenomeno degli incidenti stradali tra i giovani in Toscana | Abstract | PDF |
| 2017-10-19 | SLING: A framework for frame semantic parsing | Abstract | PDF |
| 2017-10-16 | Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect | Abstract | PDF |
| 2017-10-13 | Functional Decision Theory: A New Theory of Instrumental Rationality | Abstract | PDF |
| 2017-10-13 | Potential Conditional Mutual Information: Estimators, Properties and Applications | Abstract | PDF |
| 2017-10-13 | Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields | Abstract | PDF |
| 2017-10-13 | Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions | Abstract | PDF |
| 2017-10-11 | Counterfactual Conditionals in Quantified Modal Logic | Abstract | PDF |
| 2017-10-10 | Inference on Auctions with Weak Assumptions on Information | Abstract | PDF |
| 2017-10-10 | ACCBench: A Framework for Comparing Causality Algorithms | Abstract | PDF |
| 2017-10-10 | Prior Knowledge based mutation prioritization towards causal variant finding in rare disease | Abstract | PDF |
| 2017-10-10 | Counterfactual Causality from First Principles? | Abstract | PDF |
| 2017-10-10 | Causality and Temporal Dependencies in the Design of Fault Management Systems | Abstract | PDF |
| 2017-10-10 | On Preemption and Overdetermination in Formal Theories of Causality | Abstract | PDF |
| 2017-10-09 | Massive Open Online Courses Temporal Profiling for Dropout Prediction | Abstract | PDF |
| 2017-10-04 | Counterfactual Language Model Adaptation for Suggesting Phrases | Abstract | PDF |
| 2017-10-03 | Simulating Structure-from-Motion | Abstract | PDF |
| 2017-10-02 | Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks | Abstract | PDF |
| 2017-09-26 | Telling Cause from Effect using MDL-based Local and Global Regression | Abstract | PDF |
| 2017-09-19 | Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning | Abstract | PDF |
| 2017-09-19 | Estimating Mutual Information for Discrete-Continuous Mixtures | Abstract | PDF |
| 2017-09-16 | A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions | Abstract | PDF |
| 2017-09-15 | Embedding Deep Networks into Visual Explanations | Abstract | PDF |
| 2017-09-15 | Granger Mediation Analysis of Multiple Time Series with an Application to fMRI | Abstract | PDF |
| 2017-09-15 | Learning Functional Causal Models with Generative Neural Networks | Abstract | PDF |
| 2017-09-14 | Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials | Abstract | PDF |
| 2017-09-13 | A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables | Abstract | PDF |
| 2017-09-13 | On labeling Android malware signatures using minhashing and further classification with Structural Equation Models | Abstract | PDF |
| 2017-09-11 | Budgeted Experiment Design for Causal Structure Learning | Abstract | PDF |
| 2017-09-11 | Fairness Testing: Testing Software for Discrimination | Abstract | PDF |
| 2017-09-09 | Steering Output Style and Topic in Neural Response Generation | Abstract | PDF |
| 2017-09-08 | Causality-Aided Falsification | Abstract | PDF |
| 2017-09-07 | Deep Learning the Physics of Transport Phenomena | Abstract | PDF |
| 2017-09-07 | Learning from lions: inferring the utility of agents from their trajectories | Abstract | PDF |
| 2017-09-06 | CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training | Abstract | PDF |
| 2017-09-05 | Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information | Abstract | PDF |
| 2017-09-03 | Estimation of interventional effects of features on prediction | Abstract | PDF |
| 2017-09-03 | Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks | Abstract | PDF |
| 2017-08-30 | Unsupervised Induction of Contingent Event Pairs from Film Scenes | Abstract | PDF |
| 2017-08-30 | Inferring Narrative Causality between Event Pairs in Films | Abstract | PDF |
| 2017-08-30 | Inference of Fine-Grained Event Causality from Blogs and Films | Abstract | PDF |
| 2017-08-30 | Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events | Abstract | PDF |
| 2017-08-23 | Massively-Parallel Feature Selection for Big Data | Abstract | PDF |
| 2017-08-22 | What caused what? An irreducible account of actual causation | Abstract | PDF |
| 2017-08-22 | Learning Combinations of Sigmoids Through Gradient Estimation | Abstract | PDF |
| 2017-08-22 | On Image Classification: Correlation v.s. Causality | Abstract | PDF |
| 2017-08-20 | Perceptual audio loss function for deep learning | Abstract | PDF |
| 2017-08-18 | Comparative Benchmarking of Causal Discovery Techniques | Abstract | PDF |
| 2017-08-16 | Maximum A Posteriori Inference in Sum-Product Networks | Abstract | PDF |
| 2017-08-13 | Mahalanonbis Distance Informed by Clustering | Abstract | PDF |
| 2017-08-11 | Learning from Noisy Label Distributions | Abstract | PDF |
| 2017-08-09 | Interacting with Acoustic Simulation and Fabrication | Abstract | PDF |
| 2017-08-08 | Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis | Abstract | PDF |
| 2017-08-08 | A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence | Abstract | PDF |
| 2017-08-07 | Why adaptively collected data have negative bias and how to correct for it | Abstract | PDF |
| 2017-08-05 | A causation coefficient and taxonomy of correlation/causation relationships | Abstract | PDF |
| 2017-08-03 | Independently Controllable Factors | Abstract | PDF |
| 2017-08-02 | Latent tree models | Abstract | PDF |
| 2017-07-31 | Interpretable Active Learning | Abstract | PDF |
| 2017-07-31 | Cost and Actual Causation | Abstract | PDF |
| 2017-07-28 | Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation | Abstract | PDF |
| 2017-07-27 | Detecting and Explaining Causes From Text For a Time Series Event | Abstract | PDF |
| 2017-07-26 | Making the best of data derived from a daily practice in clinical legal medicine for research and practice - the example of Spe3dLab | Abstract | PDF |
| 2017-07-26 | Using Program Induction to Interpret Transition System Dynamics | Abstract | PDF |
| 2017-07-23 | Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models | Abstract | PDF |
| 2017-07-20 | The inflation technique solves completely the classical inference problem | Abstract | PDF |
| 2017-07-20 | Causal Transfer Learning | Abstract | PDF |
| 2017-07-20 | 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks | Abstract | PDF |
| 2017-07-19 | Computing LPMLN Using ASP and MLN Solvers | Abstract | PDF |
| 2017-07-19 | FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference | Abstract | PDF |
| 2017-07-19 | From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models | Abstract | PDF |
| 2017-07-18 | On Adaptive Propensity Score Truncation in Causal Inference | Abstract | PDF |
| 2017-07-17 | Trial without Error: Towards Safe Reinforcement Learning via Human Intervention | Abstract | PDF |
| 2017-07-15 | Learning linear structural equation models in polynomial time and sample complexity | Abstract | PDF |
| 2017-07-13 | Predicting Abandonment in Online Coding Tutorials | Abstract | PDF |
| 2017-07-13 | Fast Restricted Causal Inference | Abstract | PDF |
| 2017-07-11 | Learning like humans with Deep Symbolic Networks | Abstract | PDF |
| 2017-07-11 | CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis | Abstract | PDF |
| 2017-07-09 | Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition | Abstract | PDF |
| 2017-07-06 | A causal framework for explaining the predictions of black-box sequence-to-sequence models | Abstract | PDF |
| 2017-07-05 | Machine Learning Tests for Effects on Multiple Outcomes | Abstract | PDF |
| 2017-07-05 | SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee | Abstract | PDF |
| 2017-07-04 | Causal Consistency of Structural Equation Models | Abstract | PDF |
| 2017-07-01 | Some methods for heterogeneous treatment effect estimation in high-dimensions | Abstract | PDF |
| 2017-06-30 | Probabilistic Active Learning of Functions in Structural Causal Models | Abstract | PDF |
| 2017-06-30 | Restricted Causal Inference Algorithm | Abstract | PDF |
| 2017-06-30 | Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data | Abstract | PDF |
| 2017-06-26 | On conditional parity as a notion of non-discrimination in machine learning | Abstract | PDF |
| 2017-06-19 | Optimising the topological information of the |
Abstract | PDF |
| 2017-06-19 | Deep Counterfactual Networks with Propensity-Dropout | Abstract | PDF |
| 2017-06-16 | An online sequence-to-sequence model for noisy speech recognition | Abstract | PDF |
| 2017-06-15 | Extracting Formal Models from Normative Texts | Abstract | PDF |
| 2017-06-14 | Bias and high-dimensional adjustment in observational studies of peer effects | Abstract | PDF |
| 2017-06-14 | Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics | Abstract | PDF |
| 2017-06-10 | Causal Discovery in the Presence of Measurement Error: Identifiability Conditions | Abstract | PDF |
| 2017-06-09 | TextureGAN: Controlling Deep Image Synthesis with Texture Patches | Abstract | PDF |
| 2017-06-08 | A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform | Abstract | PDF |
| 2017-06-08 | Avoiding Discrimination through Causal Reasoning | Abstract | PDF |
| 2017-06-07 | Network Sketching: Exploiting Binary Structure in Deep CNNs | Abstract | PDF |
| 2017-06-06 | A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences | Abstract | PDF |
| 2017-06-02 | Learning causal Bayes networks using interventional path queries in polynomial time and sample complexity | Abstract | PDF |
| 2017-05-30 | A Tale of Two Animats: What does it take to have goals? | Abstract | PDF |
| 2017-05-30 | Strength Factors: An Uncertainty System for a Quantified Modal Logic | Abstract | PDF |
| 2017-05-29 | Fair Inference On Outcomes | Abstract | PDF |
| 2017-05-29 | Learning Belief Network Structure From Data under Causal Insufficiency | Abstract | PDF |
| 2017-05-27 | Targeted Learning with Daily EHR Data | Abstract | PDF |
| 2017-05-27 | Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading | Abstract | PDF |
| 2017-05-26 | Learning Causal Structures Using Regression Invariance | Abstract | PDF |
| 2017-05-25 | Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion | Abstract | PDF |
| 2017-05-24 | Cultural Diffusion and Trends in Facebook Photographs | Abstract | PDF |
| 2017-05-24 | Counterfactual Multi-Agent Policy Gradients | Abstract | PDF |
| 2017-05-24 | Causal Effect Inference with Deep Latent-Variable Models | Abstract | PDF |
| 2017-05-23 | Explaining Transition Systems through Program Induction | Abstract | PDF |
| 2017-05-22 | Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs | Abstract | PDF |
| 2017-05-21 | Instrument-Armed Bandits | Abstract | PDF |
| 2017-05-20 | Bayesian Belief Updating of Spatiotemporal Seizure Dynamics | Abstract | PDF |
| 2017-05-19 | RankPL: A Qualitative Probabilistic Programming Language | Abstract | PDF |
| 2017-05-19 | Model-Robust Counterfactual Prediction Method | Abstract | PDF |
| 2017-05-19 | Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm | Abstract | PDF |
| 2017-05-16 | GP CaKe: Effective brain connectivity with causal kernels | Abstract | PDF |
| 2017-05-16 | New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning - | Abstract | PDF |
| 2017-05-15 | Constrained Bayesian Networks: Theory, Optimization, and Applications | Abstract | PDF |
| 2017-05-11 | Reducing Bias in Production Speech Models | Abstract | PDF |
| 2017-05-05 | Group invariance principles for causal generative models | Abstract | PDF |
| 2017-05-02 | Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California | Abstract | PDF |
| 2017-04-28 | Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS) | Abstract | PDF |
| 2017-04-26 | Identifying Similarities in Epileptic Patients for Drug Resistance Prediction | Abstract | PDF |
| 2017-04-24 | Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets | Abstract | PDF |
| 2017-04-24 | Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations | Abstract | PDF |
| 2017-04-19 | Generative Face Completion | Abstract | PDF |
| 2017-04-19 | Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling | Abstract | PDF |
| 2017-04-17 | The Causality/Repair Connection in Databases: Causality-Programs | Abstract | PDF |
| 2017-04-10 | Unsupervised prototype learning in an associative-memory network | Abstract | PDF |
| 2017-04-10 | Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes | Abstract | PDF |
| 2017-04-09 | Mixed Graphical Models for Causal Analysis of Multi-modal Variables | Abstract | PDF |
| 2017-04-06 | Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions | Abstract | PDF |
| 2017-04-06 | Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness | Abstract | PDF |
| 2017-04-03 | A comparative study of counterfactual estimators | Abstract | PDF |
| 2017-03-31 | The Risk of Machine Learning | Abstract | PDF |
| 2017-03-31 | A New Measure of Conditional Dependence | Abstract | PDF |
| 2017-03-30 | Reliable Decision Support using Counterfactual Models | Abstract | PDF |
| 2017-03-30 | Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention | Abstract | PDF |
| 2017-03-27 | A Visual Measure of Changes to Weighted Self-Organizing Map Patterns | Abstract | PDF |
| 2017-03-20 | Counterfactual Fairness | Abstract | PDF |
| 2017-03-20 | Foundations for a Probabilistic Event Calculus | Abstract | PDF |
| 2017-03-20 | Artificial Intelligence and Economic Theories | Abstract | PDF |
| 2017-03-17 | Effective Evaluation using Logged Bandit Feedback from Multiple Loggers | Abstract | PDF |
| 2017-03-16 | Causal Inference through the Method of Direct Estimation | Abstract | PDF |
| 2017-03-16 | Generalised Reichenbachian Common Cause Systems | Abstract | PDF |
| 2017-03-15 | Deep learning with convolutional neural networks for EEG decoding and visualization | Abstract | PDF |
| 2017-03-14 | A statistical model for aggregating judgments by incorporating peer predictions | Abstract | PDF |
| 2017-03-13 | Probabilistic Matching: Causal Inference under Measurement Errors | Abstract | PDF |
| 2017-03-11 | Learning Large-Scale Bayesian Networks with the sparsebn Package | Abstract | PDF |
| 2017-03-10 | Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations | Abstract | PDF |
| 2017-03-09 | Counterfactuals, indicative conditionals, and negation under uncertainty: Are there cross-cultural differences? | Abstract | PDF |
| 2017-03-09 | Abductive, Causal, and Counterfactual Conditionals Under Incomplete Probabilistic Knowledge | Abstract | PDF |
| 2017-03-08 | Efficient Simulation of Financial Stress Testing Scenarios with Suppes-Bayes Causal Networks | Abstract | PDF |
| 2017-03-08 | Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks | Abstract | PDF |
| 2017-03-08 | Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks | Abstract | PDF |
| 2017-03-08 | Cost-Optimal Learning of Causal Graphs | Abstract | PDF |
| 2017-03-03 | Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning | Abstract | PDF |
| 2017-03-03 | Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity | Abstract | PDF |
| 2017-02-28 | Achieving non-discrimination in prediction | Abstract | PDF |
| 2017-02-28 | Do Reichenbachian Common Cause Systems of Arbitrary Finite Size Exist? | Abstract | PDF |
| 2017-02-27 | Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments | Abstract | PDF |
| 2017-02-27 | Semi-parametric Network Structure Discovery Models | Abstract | PDF |
| 2017-02-23 | Causal Discovery Using Proxy Variables | Abstract | PDF |
| 2017-02-22 | Causal Inference by Stochastic Complexity | Abstract | PDF |
| 2017-02-22 | Counterfactual Control for Free from Generative Models | Abstract | PDF |
| 2017-02-22 | Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store | Abstract | PDF |
| 2017-02-21 | Causal Inference on Multivariate and Mixed-Type Data | Abstract | PDF |
| 2017-02-16 | Theoretical and Practical Advances on Smoothing for Extensive-Form Games | Abstract | PDF |
| 2017-02-15 | Simple rules for complex decisions | Abstract | PDF |
| 2017-02-13 | The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study | Abstract | PDF |
| 2017-02-13 | Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery | Abstract | PDF |
| 2017-02-10 | $L_2$Boosting for Economic Applications | Abstract | PDF |
| 2017-02-09 | Efficient Policy Learning | Abstract | PDF |
| 2017-02-08 | Causal Regularization | Abstract | PDF |
| 2017-02-07 | Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States | Abstract | PDF |
| 2017-02-03 | Energy Prediction using Spatiotemporal Pattern Networks | Abstract | PDF |
| 2017-01-30 | Interaction Information for Causal Inference: The Case of Directed Triangle | Abstract | PDF |
| 2017-01-30 | Double/Debiased/Neyman Machine Learning of Treatment Effects | Abstract | PDF |
| 2017-01-28 | Entropic Causality and Greedy Minimum Entropy Coupling | Abstract | PDF |
| 2017-01-26 | The Causal Frame Problem: An Algorithmic Perspective | Abstract | PDF |
| 2017-01-26 | Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case | Abstract | PDF |
| 2017-01-25 | Does Weather Matter? Causal Analysis of TV Logs | Abstract | PDF |
| 2017-01-23 | Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables | Abstract | PDF |
| 2017-01-19 | Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods | Abstract | PDF |
| 2017-01-11 | Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines | Abstract | PDF |
| 2017-01-10 | Bidirectional American Sign Language to English Translation | Abstract | PDF |
| 2017-01-10 | Identifying Best Interventions through Online Importance Sampling | Abstract | PDF |
| 2017-01-09 | Temporal scale selection in time-causal scale space | Abstract | PDF |
| 2017-01-08 | Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis | Abstract | PDF |
| 2017-01-05 | Crime Topic Modeling | Abstract | PDF |
| 2017-01-04 | Learning causal effects from many randomized experiments using regularized instrumental variables | Abstract | PDF |
| 2017-01-03 | Semidefinite tests for latent causal structures | Abstract | PDF |
| 2017-01-03 | Deep Convolutional Neural Networks for Pairwise Causality | Abstract | PDF |