Masahiro Kato

According to our database, Masahiro Kato authored at least 65 papers between 1994 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Direct Bias-Correction Term Estimation for Propensity Scores and Average Treatment Effect Estimation.

Masahiro Kato

CoRR, September, 2025

Minimax and Bayes Optimal Best-arm Identification: Adaptive Experimental Design for Treatment Choice.

Masahiro Kato

CoRR, June, 2025

Learning from Double Positive and Unlabeled Data for Potential-Customer Identification.

Masahiro Kato, Yuki Ikeda, Kentaro Baba, Takashi Imai, Ryo Inokuchi

CoRR, June, 2025

Strategic Learning with Local Explanations as Feedback.

Kiet Q. H. Vo, Siu Lun Chau, Masahiro Kato, Yixin Wang, Krikamol Muandet

CoRR, February, 2025

PUATE: Semiparametric Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units.

Masahiro Kato, Fumiaki Kozai, Ryo Inokuchi

CoRR, January, 2025

LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits.

Masahiro Kato, Shinji Ito

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Best-of-Both-Worlds Linear Contextual Bandits.

Masahiro Kato, Shinji Ito

Trans. Mach. Learn. Res., 2024

Rate-Optimal Bayesian Simple Regret in Best Arm Identification.

Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin

Math. Oper. Res., 2024

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness.

Masahiro Kato

CoRR, 2024

Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification.

Masahiro Kato

CoRR, 2024

A Note on Doubly Robust Estimator in Regression Continuity Designs.

Masahiro Kato

CoRR, 2024

Conformal Predictive Portfolio Selection.

Masahiro Kato

CoRR, 2024

Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification.

Masahiro Kato

CoRR, 2024

Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices.

Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi

CoRR, 2024

Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects.

Masahiro Kato

CoRR, 2024

LC-Tsalis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits.

Masahiro Kato, Shinji Ito

CoRR, 2024

A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees.

Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, Yuki Ichihara, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo

CoRR, 2024

Adaptive Experimental Design for Policy Learning.

Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa

CoRR, 2024

Bayesian Portfolio Optimization by Predictive Synthesis.

Masahiro Kato, Kentaro Baba, Hibiki Kaibuchi, Ryo Inokuchi

Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Analysis of the Temporal Structure in Economic Condition Assessments.

Masahiro Kato

Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control.

Masahiro Kato, Ryosuke Kojima

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice.

Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances.

Masahiro Kato

CoRR, 2023

Locally Optimal Best Arm Identification with a Fixed Budget.

Masahiro Kato

CoRR, 2023

CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression.

Masahiro Kato, Masaaki Imaizumi

CoRR, 2023

Robust Covariate Shift Adaptation for Density-Ratio Estimation.

Masahiro Kato

CoRR, 2023

Synthetic Control Methods by Density Matching under Implicit Endogeneity.

Masahiro Kato, Akari Ohda, Masaaki Imaizumi, Kenichiro McAlinn

CoRR, 2023

Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data.

Masahiro Kato, Shuting Wu, Kodai Kureishi, Shota Yasui

CoRR, 2023

Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization.

Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa

CoRR, 2023

Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics.

Masahiro Kato, Masaaki Imaizumi, Kentaro Minami

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Semiparametric Best Arm Identification with Contextual Information.

Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa

CoRR, 2022

Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression.

Masahiro Kato, Masaaki Imaizumi

CoRR, 2022

Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics.

Masahiro Kato, Masaaki Imaizumi, Kentaro Minami

CoRR, 2022

Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances.

Masahiro Kato, Kaito Ariu, Masaaki Imaizumi, Masatoshi Uehara, Masahiro Nomura, Chao Qin

CoRR, 2022

Learning Classifiers under Delayed Feedback with a Time Window Assumption.

Shota Yasui, Masahiro Kato

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Causal Models from Conditional Moment Restrictions by Importance Weighting.

Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Optimal Simple Regret in Bayesian Best Arm Identification.

Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin

CoRR, 2021

Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice".

Kaito Ariu, Masahiro Kato, Junpei Komiyama, Kenichiro McAlinn

CoRR, 2021

Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting.

Masahiro Kato, Haruo Kakehi, Kenichiro McAlinn, Shota Yasui

CoRR, 2021

The Role of Contextual Information in Best Arm Identification.

Masahiro Kato, Kaito Ariu

CoRR, 2021

Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability.

Masahiro Kato

CoRR, 2021

Density-Ratio Based Personalised Ranking from Implicit Feedback.

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

Scalable Personalised Item Ranking through Parametric Density Estimation.

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy.

Masahiro Kato, Kenichiro McAlinn, Shota Yasui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Masahiro Kato, Takeshi Teshima

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy.

Masahiro Kato, Yusuke Kaneko

CoRR, 2020

ATRO: Adversarial Training with a Rejection Option.

Masahiro Kato, Zhenghang Cui, Yoshihiro Fukuhara

CoRR, 2020

A Practical Guide of Off-Policy Evaluation for Bandit Problems.

Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui

CoRR, 2020

Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples.

Masahiro Kato

CoRR, 2020

Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning.

Masahiro Kato, Kei Nakagawa

CoRR, 2020

Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales.

Masahiro Kato

CoRR, 2020

Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm.

Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita

CoRR, 2020

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

Masatoshi Uehara, Masahiro Kato, Shota Yasui

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Particle Filter on Episode.

Ryuichi Ueda, Masahiro Kato, Atsushi Saito

CoRR, 2019

Learning from Positive and Unlabeled Data with a Selection Bias.

Masahiro Kato, Takeshi Teshima, Junya Honda

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data.

Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama

CoRR, 2018

Research on walking support method using cooperative cane robots.

Masafumi Kojima, Masahiro Kato, Takahiro Ikeda, Akihiko Ichikawa, Masanori Tanimoto, Izumi Kondo, Toshio Fukuda

Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2018

Stabilization of Walking with Walking-Aid Cane Robot Applying Light Touch Effect.

Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda

Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2018

Teach-and-Replay of Mobile Robot with Particle Filter on Episode.

Ryuichi Ueda, Masahiro Kato, Atsushi Saito, Ryo Okazaki

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Walking-aid cane robot applying light touch effect.

Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda

Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2017

2008

Distinction between handwritten and machine-printed characters with no need to locate character or text line position.

Jumpei Koyama, Masahiro Kato, Akira Hirose

Proceedings of the International Joint Conference on Neural Networks, 2008

Local-spectrum-based distinction between handwritten and machine-printed characters.

Jumpei Koyama, Akira Hirose, Masahiro Kato

Proceedings of the International Conference on Image Processing, 2008

2007

Handwritten Character Distinction Method Inspired by Human Vision Mechanism.

Jumpei Koyama, Masahiro Kato, Akira Hirose

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2005

A Food Supply and Demand Assessment Uder the Future Global Warming Uing GIS.

Shunsuke Mori, Takahiro Doi, Takafumi Ido, Masahiro Kato, Shinichiro Morimoto

Proceedings of the Networking Environmental Information: Proceedings of the 19th International Conference for Environmental Protection, 2005

1994

Identification of front-view facial images based on isodensity maps.

Kunikazu Ueno, Masahiro Kato, Osamu Nakamura, Toshi Minami

Syst. Comput. Jpn., 1994