olivierjeunen/learnt-metrics-kdd-2024

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olivierjeunen/learnt-metrics-kdd-2024

olivierjeunen

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Source code accompanying our paper "Learnt Metrics that Maximise Power for Accelerated A/B-tests" published at KDD 2024.

dual-bandit-kdd-2020

Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.

EARS-recsys-2021

Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.

dynamicindex

C++ source code for the Dynamic Index algorithm proposed in "Efficient Similarity Computation for Collaborative Filtering in Dynamic Environments", as appeared in the proceedings of the 2019 ACM International Conference on Recommender Systems.

ease-side-info-recsys-2020

Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.

decision-theory-www-2021

Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).

Jupyter Notebook

pessimism-recsys-2021

Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.

sequential-skip-prediction

Source code for our approach to the 2019 WSDM Cup Spotify Sequential Skip Prediction Challenge

disentangling-neurips-2022

Source code for our paper "Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders" published at NeurIPS 2022.

Jupyter Notebook

nDCG-disagreement

Source code for experiments highlighting that normalised DCG and DCG can lead to conflicting conclusions in offline experiments.

Jupyter Notebook

olivierjeunen.github.io

Source code for personal website.

dynamic-easer

C-3PO-recsys-2023

Jupyter Notebook

pooled-data-experiments

Jupyter Notebook