The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy

論文誌・国際会議

Masahiro Kato, Kenichiro McAlinn, Shota Yasui

NeurIPS 2021

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

論文誌・国際会議

Masahiro Kato, Takeshi Teshima

ICML 2021

Adaptive Experimental Design for Efficient Treatment Effect Estimation

論文誌・国際会議

Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita

NeurIPS 2020 Causal Discovery and Causality-Inspired Machine Learning Workshop

Scalable Personalised Item Ranking through Parametric Density Estimation

論文誌・国際会議

Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh

SIGIR 2021

Density-Ratio Based Personalised Ranking from Implicit Feedback

論文誌・国際会議

Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh

WWW 2021

Off-Policy Evaluation and Learning for External Validity under a Covariate Shift

論文誌・国際会議

Masahiro Kato, Masatoshi Uehara, Shota Yasui

NeurIPS 2020 (Spot Light)