Kato, Masahiro

14 publications

AISTATS 2025 LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits Masahiro Kato, Shinji Ito

NeurIPS 2025 PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units Masahiro Kato, Fumiaki Kozai, Ryo Inokuchi

ICML 2024 Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi

ICMLW 2024 Adaptive Experimental Design for Policy Learning: Contextual Best Arm Identification Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa

TMLR 2024 Best-of-Both-Worlds Linear Contextual Bandits Masahiro Kato, Shinji Ito

ICMLW 2023 Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Bounds Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa

ICMLW 2023 Fixed-Budget Hypothesis Best Arm Identification: On the Information Loss in Experimental Design Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa

AISTATS 2023 Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics Masahiro Kato, Masaaki Imaizumi, Kentaro Minami

ICLR 2022 Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi

NeurIPSW 2021 Mean-Variance Efficient Reinforcement Learning by Expected Quadratic Utility Maximization Masahiro Kato, Kei Nakagawa, Kenshi Abe, Tetsuro Morimura

ICML 2021 Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato, Takeshi Teshima

NeurIPS 2021 The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy Masahiro Kato, Kenichiro McAlinn, Shota Yasui

NeurIPS 2020 Off-Policy Evaluation and Learning for External Validity Under a Covariate Shift Masatoshi Uehara, Masahiro Kato, Shota Yasui

ICLR 2019 Learning from Positive and Unlabeled Data with a Selection Bias Masahiro Kato, Takeshi Teshima, Junya Honda