usaito/obp-demo usaito/obp-demo

  • Stars
    star
    1
  • Language
    Python
  • License
    MIT License
  • Created over 4 years ago
  • Updated about 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
usaito/obp-demo
github

usaito

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

recsys2021-tutorial

https://sites.google.com/cornell.edu/recsys2021tutorial
Jupyter Notebook
49
star
2

counterfactual-cv

(ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
Python
31
star
3

unbiased-implicit-rec-real

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
Python
30
star
4

unbiased-implicit-rec

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
Python
24
star
5

dr-ranking-metric

(RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
Python
23
star
6

asymmetric-tri-rec-real

(SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
Python
22
star
7

icml2022-mips

(ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings
Python
20
star
8

CFML-papers

Summaries and notes on CounterFactual Machine Learning papers
19
star
9

unbiased-pairwise-rec

(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
Python
19
star
10

kdd2022-tutorial

Jupyter Notebook
12
star
11

ijcai2022-adversarial-mf

Towards Resolving Propensity Contradiction in Offline Recommender Learning
Python
6
star
12

icml2023-offcem

(ICML2023) Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
Python
5
star
13

kdd2022-fair-ranking-nsw

(KDD2022) Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking.
Jupyter Notebook
5
star
14

www2024-lope

(TheWebConf'24) Long-term Off-Policy Evaluation and Learning
Jupyter Notebook
4
star