Masahiro Kato

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 52

Top Topics

Experimental Design

Utility Maximization

Density Ratio Estimation

Policy Evaluation

Top Venues

Publications

Masahiro Kato, Shinji Ito
Best-of-Both-Worlds Linear Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Masahiro Kato, Ryosuke Kojima
Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. IEA/AIE (2024)
Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, Yuki Ichihara, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees. CoRR (2024)
Masahiro Kato, Shinji Ito
LC-Tsalis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. CoRR (2024)
Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices. CoRR (2024)
Masahiro Kato
Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification. CoRR (2024)
Masahiro Kato
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects. CoRR (2024)
Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa
Adaptive Experimental Design for Policy Learning. CoRR (2024)
Masahiro Kato
Robust Covariate Shift Adaptation for Density-Ratio Estimation. CoRR (2023)
Masahiro Kato
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances. CoRR (2023)
Masahiro Kato, Akari Ohda, Masaaki Imaizumi, Kenichiro McAlinn
Synthetic Control Methods by Density Matching under Implicit Endogeneity. CoRR (2023)
Masahiro Kato
Locally Optimal Best Arm Identification with a Fixed Budget. CoRR (2023)
Masahiro Kato, Shuting Wu, Kodai Kureishi, Shota Yasui
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data. CoRR (2023)
Masahiro Kato, Masaaki Imaizumi
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression. CoRR (2023)
Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization. CoRR (2023)
Masahiro Kato, Shinji Ito
Best-of-Both-Worlds Linear Contextual Bandits. CoRR (2023)
Masahiro Kato, Masaaki Imaizumi, Kentaro Minami
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics. AISTATS (2023)
Masahiro Kato, Masaaki Imaizumi, Kentaro Minami
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics. CoRR (2022)
Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting. ICLR (2022)
Shota Yasui, Masahiro Kato
Learning Classifiers under Delayed Feedback with a Time Window Assumption. KDD (2022)
Masahiro Kato, Masaaki Imaizumi
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression. CoRR (2022)
Masahiro Kato, Kaito Ariu, Masaaki Imaizumi, Masatoshi Uehara, Masahiro Nomura, Chao Qin
Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances. CoRR (2022)
Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
Semiparametric Best Arm Identification with Contextual Information. CoRR (2022)
Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh
Scalable Personalised Item Ranking through Parametric Density Estimation. CoRR (2021)
Kaito Ariu, Masahiro Kato, Junpei Komiyama, Kenichiro McAlinn
Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice". CoRR (2021)
Masahiro Kato, Takeshi Teshima
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. ICML (2021)
Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin
Optimal Simple Regret in Bayesian Best Arm Identification. CoRR (2021)
Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh
Scalable Personalised Item Ranking through Parametric Density Estimation. SIGIR (2021)
Masahiro Kato, Haruo Kakehi, Kenichiro McAlinn, Shota Yasui
Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting. CoRR (2021)
Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh
Density-Ratio Based Personalised Ranking from Implicit Feedback. WWW (2021)
Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh
Density-Ratio Based Personalised Ranking from Implicit Feedback. CoRR (2021)
Masahiro Kato, Kenichiro McAlinn, Shota Yasui
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy. NeurIPS (2021)
Masahiro Kato
Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability. CoRR (2021)
Masahiro Kato, Kaito Ariu
The Role of Contextual Information in Best Arm Identification. CoRR (2021)
Masahiro Kato
Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples. CoRR (2020)
Masahiro Kato
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales. CoRR (2020)
Masahiro Kato, Zhenghang Cui, Yoshihiro Fukuhara
ATRO: Adversarial Training with a Rejection Option. CoRR (2020)
Masatoshi Uehara, Masahiro Kato, Shota Yasui
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. NeurIPS (2020)
Masahiro Kato, Masatoshi Uehara, Shota Yasui
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. CoRR (2020)
Masahiro Kato, Shota Yasui
Learning Classifiers under Delayed Feedback with a Time Window Assumption. CoRR (2020)
Masahiro Kato, Kei Nakagawa
Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning. CoRR (2020)
Masahiro Kato, Yusuke Kaneko
Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy. CoRR (2020)
Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui
A Practical Guide of Off-Policy Evaluation for Bandit Problems. CoRR (2020)
Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm. CoRR (2020)
Masahiro Kato, Takeshi Teshima
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. CoRR (2020)
Ryuichi Ueda, Masahiro Kato, Atsushi Saito
Particle Filter on Episode. CoRR (2019)
Masahiro Kato, Takeshi Teshima, Junya Honda
Learning from Positive and Unlabeled Data with a Selection Bias. ICLR (Poster) (2019)
Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama
Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. CoRR (2018)
Masafumi Kojima, Masahiro Kato, Takahiro Ikeda, Akihiko Ichikawa, Masanori Tanimoto, Izumi Kondo, Toshio Fukuda
Research on walking support method using cooperative cane robots. MHS (2018)
Ryuichi Ueda, Masahiro Kato, Atsushi Saito, Ryo Okazaki
Teach-and-Replay of Mobile Robot with Particle Filter on Episode. ICRA (2018)
Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda
Stabilization of Walking with Walking-Aid Cane Robot Applying Light Touch Effect. MHS (2018)
Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda
Walking-aid cane robot applying light touch effect. MHS (2017)
Jumpei Koyama, Masahiro Kato, Akira Hirose
Distinction between handwritten and machine-printed characters with no need to locate character or text line position. IJCNN (2008)
Jumpei Koyama, Akira Hirose, Masahiro Kato
Local-spectrum-based distinction between handwritten and machine-printed characters. ICIP (2008)
Jumpei Koyama, Masahiro Kato, Akira Hirose
Handwritten Character Distinction Method Inspired by Human Vision Mechanism. ICONIP (1) (2007)
Shunsuke Mori, Takahiro Doi, Takafumi Ido, Masahiro Kato, Shinichiro Morimoto
A Food Supply and Demand Assessment Uder the Future Global Warming Uing GIS. EnviroInfo (2005)
Kunikazu Ueno, Masahiro Kato, Osamu Nakamura, Toshi Minami
Identification of front-view facial images based on isodensity maps. Systems and Computers in Japan 25 (3) (1994)