Masahiro Kato - RankMe

86 papers A* 9A 2B 2C 1Journal 64Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causality Elicitation from Large Language Models. CoRR Takashi Kameyama, Masahiro Kato, Yasuko Hio, Yasushi Takano, Naoto Minakawa
2026	J	`jnl`	Conformal Prediction for Nonparametric Instrumental Regression. CoRR Masahiro Kato
2026	J	`jnl`	General Bayesian Policy Learning. CoRR Masahiro Kato
2026	J	`jnl`	Riesz Representer Fitting under Bregman Divergence: A Unified Framework for Debiased Machine Learning. CoRR Masahiro Kato
2026	J	`jnl`	genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression. CoRR Masahiro Kato
2025	J	`jnl`	A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression. CoRR Masahiro Kato
2025	J	`jnl`	Bayesian Portfolio Optimization by Predictive Synthesis. CoRR Masahiro Kato, Kentaro Baba, Hibiki Kaibuchi, Ryo Inokuchi
2025	J	`jnl`	Bridging the Gap between Empirical Welfare Maximization and Conditional Average Treatment Effect Estimation in Policy Learning. CoRR Masahiro Kato
2025	J	`jnl`	Causal-Policy Forest for End-to-End Policy Learning. CoRR Masahiro Kato
2025	J	`jnl`	Direct Bias-Correction Term Estimation for Propensity Scores and Average Treatment Effect Estimation. CoRR Masahiro Kato
2025	J	`jnl`	Direct Debiased Machine Learning via Bregman Divergence Minimization. CoRR Masahiro Kato
2025	A	`conf`	LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. AISTATS Masahiro Kato, Shinji Ito
2025	J	`jnl`	Learning from Double Positive and Unlabeled Data for Potential-Customer Identification. CoRR Masahiro Kato, Yuki Ikeda, Kentaro Baba, Takashi Imai, Ryo Inokuchi
2025	J	`jnl`	Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice. CoRR Masahiro Kato
2025	J	`jnl`	Minimax and Bayes Optimal Best-arm Identification: Adaptive Experimental Design for Treatment Choice. CoRR Masahiro Kato
2025	J	`jnl`	Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression. CoRR Masahiro Kato
2025	J	`jnl`	PUATE: Semiparametric Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units. CoRR Masahiro Kato, Fumiaki Kozai, Ryo Inokuchi
2025	J	`jnl`	Riesz Regression As Direct Density Ratio Estimation. CoRR Masahiro Kato
2025	J	`jnl`	ScoreMatchingRiesz: Auto-DML with Infinitesimal Classification. CoRR Masahiro Kato
2025	J	`jnl`	Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression. CoRR Masahiro Kato
2025	J	`jnl`	Strategic Learning with Local Explanations as Feedback. CoRR Kiet Q. H. Vo, Siu Lun Chau, Masahiro Kato, Yixin Wang, Krikamol Muandet
2024	J	`jnl`	A Note on Doubly Robust Estimator in Regression Continuity Designs. CoRR Masahiro Kato
2024	J	`jnl`	A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees. CoRR Toshinori Kitamura, Tadashi Kozuno, Masahiro Kato, Yuki Ichihara, Soichiro Nishimori, Akiyoshi Sannai, Sho Sonoda, Wataru Kumagai, Yutaka Matsuo
2024	A*	`conf`	Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice. ICML Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi
2024	J	`jnl`	Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices. CoRR Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi
2024	J	`jnl`	Adaptive Experimental Design for Policy Learning. CoRR Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa
2024	J	`jnl`	Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification. CoRR Masahiro Kato
2024	—	`conf`	Analysis of the Temporal Structure in Economic Condition Assessments. IIAI-AAI Masahiro Kato
2024	—	`conf`	Bayesian Portfolio Optimization by Predictive Synthesis. IIAI-AAI Masahiro Kato, Kentaro Baba, Hibiki Kaibuchi, Ryo Inokuchi
2024	J	`jnl`	Best-of-Both-Worlds Linear Contextual Bandits. Trans. Mach. Learn. Res. Masahiro Kato, Shinji Ito
2024	J	`jnl`	Conformal Predictive Portfolio Selection. CoRR Masahiro Kato
2024	J	`jnl`	Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness. CoRR Masahiro Kato
2024	J	`jnl`	LC-Tsalis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. CoRR Masahiro Kato, Shinji Ito
2024	J	`jnl`	Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification. CoRR Masahiro Kato
2024	J	`jnl`	Rate-Optimal Bayesian Simple Regret in Best Arm Identification. Math. Oper. Res. Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin
2024	C	`conf`	Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. IEA/AIE Masahiro Kato, Ryosuke Kojima
2024	J	`jnl`	Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects. CoRR Masahiro Kato
2023	J	`jnl`	Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization. CoRR Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
2023	J	`jnl`	Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data. CoRR Masahiro Kato, Shuting Wu, Kodai Kureishi, Shota Yasui
2023	J	`jnl`	Best-of-Both-Worlds Linear Contextual Bandits. CoRR Masahiro Kato, Shinji Ito
2023	J	`jnl`	CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression. CoRR Masahiro Kato, Masaaki Imaizumi
2023	J	`jnl`	Locally Optimal Best Arm Identification with a Fixed Budget. CoRR Masahiro Kato
2023	J	`jnl`	Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances. CoRR Masahiro Kato
2023	J	`jnl`	Robust Covariate Shift Adaptation for Density-Ratio Estimation. CoRR Masahiro Kato
2023	J	`jnl`	Synthetic Control Methods by Density Matching under Implicit Endogeneity. CoRR Masahiro Kato, Akari Ohda, Masaaki Imaizumi, Kenichiro McAlinn
2023	A	`conf`	Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics. AISTATS Masahiro Kato, Masaaki Imaizumi, Kentaro Minami
2022	J	`jnl`	Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression. CoRR Masahiro Kato, Masaaki Imaizumi
2022	A*	`conf`	Learning Causal Models from Conditional Moment Restrictions by Importance Weighting. ICLR Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi
2022	A*	`conf`	Learning Classifiers under Delayed Feedback with a Time Window Assumption. KDD Shota Yasui, Masahiro Kato
2022	J	`jnl`	Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances. CoRR Masahiro Kato, Kaito Ariu, Masaaki Imaizumi, Masatoshi Uehara, Masahiro Nomura, Chao Qin
2022	J	`jnl`	Semiparametric Best Arm Identification with Contextual Information. CoRR Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa
2022	J	`jnl`	Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics. CoRR Masahiro Kato, Masaaki Imaizumi, Kentaro Minami
2021	J	`jnl`	Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability. CoRR Masahiro Kato
2021	A*	`conf`	Density-Ratio Based Personalised Ranking from Implicit Feedback. WWW Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh
2021	J	`jnl`	Density-Ratio Based Personalised Ranking from Implicit Feedback. CoRR Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh
2021	J	`jnl`	Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting. CoRR Masahiro Kato, Haruo Kakehi, Kenichiro McAlinn, Shota Yasui
2021	A*	`conf`	Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. ICML Masahiro Kato, Takeshi Teshima
2021	J	`jnl`	Optimal Simple Regret in Bayesian Best Arm Identification. CoRR Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin
2021	J	`jnl`	Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice". CoRR Kaito Ariu, Masahiro Kato, Junpei Komiyama, Kenichiro McAlinn
2021	A*	`conf`	Scalable Personalised Item Ranking through Parametric Density Estimation. SIGIR Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh
2021	J	`jnl`	Scalable Personalised Item Ranking through Parametric Density Estimation. CoRR Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh
2021	A*	`conf`	The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy. NeurIPS Masahiro Kato, Kenichiro McAlinn, Shota Yasui
2021	J	`jnl`	The Role of Contextual Information in Best Arm Identification. CoRR Masahiro Kato, Kaito Ariu
2020	J	`jnl`	A Practical Guide of Off-Policy Evaluation for Bandit Problems. CoRR Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui
2020	J	`jnl`	ATRO: Adversarial Training with a Rejection Option. CoRR Masahiro Kato, Zhenghang Cui, Yoshihiro Fukuhara
2020	J	`jnl`	Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm. CoRR Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita
2020	J	`jnl`	Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales. CoRR Masahiro Kato
2020	J	`jnl`	Learning Classifiers under Delayed Feedback with a Time Window Assumption. CoRR Masahiro Kato, Shota Yasui
2020	J	`jnl`	Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. CoRR Masahiro Kato, Takeshi Teshima
2020	A*	`conf`	Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. NeurIPS Masatoshi Uehara, Masahiro Kato, Shota Yasui
2020	J	`jnl`	Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. CoRR Masahiro Kato, Masatoshi Uehara, Shota Yasui
2020	J	`jnl`	Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy. CoRR Masahiro Kato, Yusuke Kaneko
2020	J	`jnl`	Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning. CoRR Masahiro Kato, Kei Nakagawa
2020	J	`jnl`	Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples. CoRR Masahiro Kato
2019	—	`conf`	Learning from Positive and Unlabeled Data with a Selection Bias. ICLR (Poster) Masahiro Kato, Takeshi Teshima, Junya Honda
2019	J	`jnl`	Particle Filter on Episode. CoRR Ryuichi Ueda, Masahiro Kato, Atsushi Saito
2018	J	`jnl`	Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. CoRR Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama
2018	—	`conf`	Research on walking support method using cooperative cane robots. MHS Masafumi Kojima, Masahiro Kato, Takahiro Ikeda, Akihiko Ichikawa, Masanori Tanimoto, Izumi Kondo, Toshio Fukuda
2018	—	`conf`	Stabilization of Walking with Walking-Aid Cane Robot Applying Light Touch Effect. MHS Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda
2018	A*	`conf`	Teach-and-Replay of Mobile Robot with Particle Filter on Episode. ICRA Ryuichi Ueda, Masahiro Kato, Atsushi Saito, Ryo Okazaki
2017	—	`conf`	Walking-aid cane robot applying light touch effect. MHS Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda
2008	B	`conf`	Distinction between handwritten and machine-printed characters with no need to locate character or text line position. IJCNN Jumpei Koyama, Masahiro Kato, Akira Hirose
2008	B	`conf`	Local-spectrum-based distinction between handwritten and machine-printed characters. ICIP Jumpei Koyama, Akira Hirose, Masahiro Kato
2007	—	`conf`	Handwritten Character Distinction Method Inspired by Human Vision Mechanism. ICONIP (1) Jumpei Koyama, Masahiro Kato, Akira Hirose
2005	—	`conf`	A Food Supply and Demand Assessment Uder the Future Global Warming Uing GIS. EnviroInfo Shunsuke Mori, Takahiro Doi, Takafumi Ido, Masahiro Kato, Shinichiro Morimoto
1994	J	`jnl`	Identification of front-view facial images based on isodensity maps. Syst. Comput. Jpn. Kunikazu Ueno, Masahiro Kato, Osamu Nakamura, Toshi Minami