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2020 – today
- 2024
[j3]Junpei Komiyama
, Kaito Ariu, Masahiro Kato, Chao Qin:
Rate-Optimal Bayesian Simple Regret in Best Arm Identification. Math. Oper. Res. 49(3): 1629-1646 (2024)- [j2]Masahiro Kato, Shinji Ito:
Best-of-Both-Worlds Linear Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024) - [c21]Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi:
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice. ICML 2024 - [c20]Masahiro Kato, Ryosuke Kojima:
Reconsidering Stochastic Policy Gradient Methods for Traffic Signal Control. IEA/AIE 2024: 442-453 - [c19]Masahiro Kato:
Analysis of the Temporal Structure in Economic Condition Assessments. IIAI-AAI 2024: 312-319 - [c18]Masahiro Kato, Kentaro Baba, Hibiki Kaibuchi, Ryo Inokuchi:
Bayesian Portfolio Optimization by Predictive Synthesis. IIAI-AAI 2024: 523-528 - [i37]Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru Kitagawa:
Adaptive Experimental Design for Policy Learning. CoRR abs/2401.03756 (2024) - [i36]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 abs/2401.17780 (2024) - [i35]Masahiro Kato, Shinji Ito:
LC-Tsalis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. CoRR abs/2403.03219 (2024) - [i34]Masahiro Kato:
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects. CoRR abs/2403.03240 (2024) - [i33]Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi:
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices. CoRR abs/2403.03589 (2024) - [i32]Masahiro Kato:
Adaptive Generalized Neyman Allocation: Local Asymptotic Minimax Optimal Best Arm Identification. CoRR abs/2405.19317 (2024) - 2023
- [c17]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: 5271-5298 - [i31]Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa:
Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization. CoRR abs/2302.02988 (2023) - [i30]Masahiro Kato, Shuting Wu, Kodai Kureishi, Shota Yasui:
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data. CoRR abs/2303.04797 (2023) - [i29]Masahiro Kato, Akari Ohda, Masaaki Imaizumi, Kenichiro McAlinn:
Synthetic Control Methods by Density Matching under Implicit Endogeneity. CoRR abs/2307.11127 (2023) - [i28]Masahiro Kato:
Robust Covariate Shift Adaptation for Density-Ratio Estimation. CoRR abs/2310.16638 (2023) - [i27]Masahiro Kato, Masaaki Imaizumi:
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression. CoRR abs/2310.16819 (2023) - [i26]Masahiro Kato:
Locally Optimal Best Arm Identification with a Fixed Budget. CoRR abs/2310.19788 (2023) - [i25]Masahiro Kato:
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances. CoRR abs/2312.12741 (2023) - [i24]Masahiro Kato, Shinji Ito:
Best-of-Both-Worlds Linear Contextual Bandits. CoRR abs/2312.16489 (2023) - 2022
- [c16]Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi:
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting. ICLR 2022 - [c15]Shota Yasui, Masahiro Kato:
Learning Classifiers under Delayed Feedback with a Time Window Assumption. KDD 2022: 2286-2295 - [i23]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 abs/2201.04469 (2022) - [i22]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 abs/2201.13127 (2022) - [i21]Masahiro Kato, Masaaki Imaizumi:
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression. CoRR abs/2202.05245 (2022) - [i20]Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa:
Semiparametric Best Arm Identification with Contextual Information. CoRR abs/2209.07330 (2022) - 2021
- [c14]Masahiro Kato, Takeshi Teshima:
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. ICML 2021: 5320-5333 - [c13]Masahiro Kato, Kenichiro McAlinn, Shota Yasui:
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy. NeurIPS 2021: 1351-1364 - [c12]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. SIGIR 2021: 921-931 - [c11]Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. WWW 2021: 3221-3233 - [i19]Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. CoRR abs/2101.07481 (2021) - [i18]Masahiro Kato:
Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability. CoRR abs/2102.08975 (2021) - [i17]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. CoRR abs/2105.04769 (2021) - [i16]Masahiro Kato, Kaito Ariu:
The Role of Contextual Information in Best Arm Identification. CoRR abs/2106.14077 (2021) - [i15]Masahiro Kato, Haruo Kakehi, Kenichiro McAlinn, Shota Yasui:
Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting. CoRR abs/2108.01312 (2021) - [i14]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 abs/2109.08229 (2021) - [i13]Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin:
Optimal Simple Regret in Bayesian Best Arm Identification. CoRR abs/2111.09885 (2021) - 2020
- [c10]Masatoshi Uehara, Masahiro Kato, Shota Yasui:
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. NeurIPS 2020 - [i12]Masahiro Kato, Takuya Ishihara, Junya Honda, Yusuke Narita:
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm. CoRR abs/2002.05308 (2020) - [i11]Masahiro Kato, Masatoshi Uehara, Shota Yasui:
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift. CoRR abs/2002.11642 (2020) - [i10]Masahiro Kato, Takeshi Teshima:
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. CoRR abs/2006.06979 (2020) - [i9]Masahiro Kato:
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales. CoRR abs/2006.06982 (2020) - [i8]Masahiro Kato, Shota Yasui:
Learning Classifiers under Delayed Feedback with a Time Window Assumption. CoRR abs/2009.13092 (2020) - [i7]Masahiro Kato, Kei Nakagawa:
Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning. CoRR abs/2010.01404 (2020) - [i6]Masahiro Kato:
Theoretical and Experimental Comparison of Off-Policy Evaluation from Dependent Samples. CoRR abs/2010.03792 (2020) - [i5]Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui:
A Practical Guide of Off-Policy Evaluation for Bandit Problems. CoRR abs/2010.12470 (2020) - [i4]Masahiro Kato, Zhenghang Cui, Yoshihiro Fukuhara:
ATRO: Adversarial Training with a Rejection Option. CoRR abs/2010.12905 (2020) - [i3]Masahiro Kato, Yusuke Kaneko:
Off-Policy Evaluation of Bandit Algorithm from Dependent Samples under Batch Update Policy. CoRR abs/2010.13554 (2020)
2010 – 2019
- 2019
- [c9]Masahiro Kato, Takeshi Teshima, Junya Honda:
Learning from Positive and Unlabeled Data with a Selection Bias. ICLR (Poster) 2019 - [i2]Ryuichi Ueda, Masahiro Kato, Atsushi Saito:
Particle Filter on Episode. CoRR abs/1904.08761 (2019) - 2018
- [c8]Ryuichi Ueda, Masahiro Kato, Atsushi Saito, Ryo Okazaki:
Teach-and-Replay of Mobile Robot with Particle Filter on Episode. ICRA 2018: 1-7 - [c7]Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda:
Stabilization of Walking with Walking-Aid Cane Robot Applying Light Touch Effect. MHS 2018: 1-4 - [c6]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: 1-3 - [i1]Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama:
Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. CoRR abs/1809.05710 (2018) - 2017
- [c5]Masahiro Kato, Akihiko Ichikawa, Izumi Kondo, Toshio Fukuda:
Walking-aid cane robot applying light touch effect. MHS 2017: 1-6
2000 – 2009
- 2008
- [c4]Jumpei Koyama, Akira Hirose, Masahiro Kato:
Local-spectrum-based distinction between handwritten and machine-printed characters. ICIP 2008: 1021-1024 - [c3]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: 4044-4051 - 2007
- [c2]Jumpei Koyama, Masahiro Kato, Akira Hirose:
Handwritten Character Distinction Method Inspired by Human Vision Mechanism. ICONIP (1) 2007: 1031-1040 - 2005
- [c1]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: 585-589
1990 – 1999
- 1994
- [j1]Kunikazu Ueno, Masahiro Kato, Osamu Nakamura, Toshi Minami:
Identification of front-view facial images based on isodensity maps. Syst. Comput. Jpn. 25(3): 30-45 (1994)
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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