Identification of front-view facial images based on isodensity maps. - Kunikazu Ueno; Masahiro Kato; Osamu Nakamura; Toshi Minami (Syst. Comput. Jpn., 1994)

A Food Supply and Demand Assessment Uder the Future Global Warming Uing GIS. - Shunsuke Mori; Takahiro Doi; Takafumi Ido; Masahiro Kato; Shinichiro Morimoto (EnviroInfo, 2005)

Handwritten Character Distinction Method Inspired by Human Vision Mechanism. - Jumpei Koyama; Masahiro Kato; Akira Hirose 001 (ICONIP (1), 2007)

Local-spectrum-based distinction between handwritten and machine-printed characters. - Jumpei Koyama; Akira Hirose 001; Masahiro Kato (ICIP, 2008)

Distinction between handwritten and machine-printed characters with no need to locate character or text line position. - Jumpei Koyama; Masahiro Kato; Akira Hirose 001 (IJCNN, 2008)

Walking-aid cane robot applying light touch effect. - Masahiro Kato; Akihiko Ichikawa; Izumi Kondo; Toshio Fukuda (MHS, 2017)

Teach-and-Replay of Mobile Robot with Particle Filter on Episode. - Ryuichi Ueda; Masahiro Kato; Atsushi Saito; Ryo Okazaki (ICRA, 2018)

Stabilization of Walking with Walking-Aid Cane Robot Applying Light Touch Effect. - Masahiro Kato; Akihiko Ichikawa; Izumi Kondo; Toshio Fukuda (MHS, 2018)

Research on walking support method using cooperative cane robots. - Masafumi Kojima; Masahiro Kato; Takahiro Ikeda; Akihiko Ichikawa; Masanori Tanimoto; Izumi Kondo; Toshio Fukuda (MHS, 2018)

Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. - Masahiro Kato; Liyuan Xu; Gang Niu 001; Masashi Sugiyama (CoRR, 2018)

Learning from Positive and Unlabeled Data with a Selection Bias. - Masahiro Kato; Takeshi Teshima; Junya Honda (ICLR (Poster), 2019)

Particle Filter on Episode. - Ryuichi Ueda; Masahiro Kato; Atsushi Saito (CoRR, 2019)

Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. - Masatoshi Uehara; Masahiro Kato; Shota Yasui (NeurIPS, 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)

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

Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples. - Masahiro Kato (CoRR, 2020)

A Practical Guide of Off-Policy Evaluation for Bandit Problems. - Masahiro Kato; Kenshi Abe; Kaito Ariu; Shota Yasui (CoRR, 2020)

ATRO: Adversarial Training with a Rejection Option. - Masahiro Kato; Zhenghang Cui; Yoshihiro Fukuhara (CoRR, 2020)

Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy. - Masahiro Kato; Yusuke Kaneko (CoRR, 2020)

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

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

Scalable Personalised Item Ranking through Parametric Density Estimation. - Riku Togashi; Masahiro Kato; Mayu Otani; Tetsuya Sakai; Shin'ichi Satoh 001 (SIGIR, 2021)

Density-Ratio Based Personalised Ranking from Implicit Feedback. - Riku Togashi; Masahiro Kato; Mayu Otani; Shin'ichi Satoh 001 (WWW, 2021)

Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability. - Masahiro Kato (CoRR, 2021)

The Role of Contextual Information in Best Arm Identification. - Masahiro Kato; Kaito Ariu (CoRR, 2021)

Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting. - Masahiro Kato; Haruo Kakehi; Kenichiro McAlinn; Shota Yasui (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)

Optimal Simple Regret in Bayesian Best Arm Identification. - Junpei Komiyama; Kaito Ariu; Masahiro Kato; Chao Qin (CoRR, 2021)

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

Learning Classifiers under Delayed Feedback with a Time Window Assumption. - Shota Yasui; Masahiro Kato (KDD, 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)

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)

Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression. - Masahiro Kato; Masaaki Imaizumi (CoRR, 2022)

Semiparametric Best Arm Identification with Contextual Information. - Masahiro Kato; Masaaki Imaizumi; Takuya Ishihara; Toru Kitagawa (CoRR, 2022)

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

Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization. - Masahiro Kato; Masaaki Imaizumi; Takuya Ishihara; Toru Kitagawa (CoRR, 2023)

Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data. - Masahiro Kato; Shuting Wu; Kodai Kureishi; Shota Yasui (CoRR, 2023)

Synthetic Control Methods by Density Matching under Implicit Endogeneity. - Masahiro Kato; Akari Ohda; Masaaki Imaizumi; Kenichiro McAlinn (CoRR, 2023)

Robust Covariate Shift Adaptation for Density-Ratio Estimation. - Masahiro Kato (CoRR, 2023)

CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression. - Masahiro Kato; Masaaki Imaizumi (CoRR, 2023)

Locally Optimal Best Arm Identification with a Fixed Budget. - Masahiro Kato (CoRR, 2023)

Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances. - Masahiro Kato (CoRR, 2023)

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

Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. - Masahiro Kato; Ryosuke Kojima (IEA/AIE, 2024)

Analysis of the Temporal Structure in Economic Condition Assessments. - Masahiro Kato (IIAI-AAI, 2024)

Bayesian Portfolio Optimization by Predictive Synthesis. - Masahiro Kato; Kentaro Baba; Hibiki Kaibuchi; Ryo Inokuchi (IIAI-AAI, 2024)

Adaptive Experimental Design for Policy Learning. - Masahiro Kato; Kyohei Okumura; Takuya Ishihara; Toru Kitagawa (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)

LC-Tsalis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. - Masahiro Kato; Shinji Ito (CoRR, 2024)

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

Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification. - Masahiro Kato (CoRR, 2024)

Conformal Predictive Portfolio Selection. - Masahiro Kato (CoRR, 2024)

A Note on Doubly Robust Estimator in Regression Continuity Designs. - Masahiro Kato (CoRR, 2024)

Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification. - Masahiro Kato (CoRR, 2024)

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness. - Masahiro Kato (CoRR, 2024)

Rate-Optimal Bayesian Simple Regret in Best Arm Identification. - Junpei Komiyama; Kaito Ariu; Masahiro Kato; Chao Qin (Math. Oper. Res., 2024)

Best-of-Both-Worlds Linear Contextual Bandits. - Masahiro Kato; Shinji Ito (Trans. Mach. Learn. Res., 2024)

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

PUATE: Semiparametric Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units. - Masahiro Kato; Fumiaki Kozai; Ryo Inokuchi (CoRR, 2025)

Strategic Learning with Local Explanations as Feedback. - Kiet Q. H. Vo; Siu Lun Chau; Masahiro Kato; Yixin Wang; Krikamol Muandet (CoRR, 2025)

Learning from Double Positive and Unlabeled Data for Potential-Customer Identification. - Masahiro Kato; Yuki Ikeda; Kentaro Baba; Takashi Imai; Ryo Inokuchi (CoRR, 2025)

Minimax and Bayes Optimal Best-arm Identification: Adaptive Experimental Design for Treatment Choice. - Masahiro Kato (CoRR, 2025)