yuta-saito

recsys2021-tutorial. https://sites.google.com/cornell.edu/recsys2021tutorial

counterfactual-cv. (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’

unbiased-implicit-rec-real. (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

unbiased-implicit-rec. (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

dr-ranking-metric. (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"

icml2022-mips. (ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings

asymmetric-tri-rec-real. (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’

CFML-papers. Summaries and notes on CounterFactual Machine Learning papers

unbiased-pairwise-rec. (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"

kdd2022-tutorial. Jupyter Notebook

www2024-lope. (TheWebConf'24) Long-term Off-Policy Evaluation and Learning

ijcai2022-adversarial-mf. Towards Resolving Propensity Contradiction in Offline Recommender Learning

icml2023-offcem. (ICML2023) Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling

kdd2022-fair-ranking-nsw. (KDD2022) Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking.

obp-demo. Python

usaito.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes