| 2025 | AISTATS | LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits. | Masahiro Kato, Shinji Ito |
| 2024 | ICML | Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice. | Masahiro Kato, Akihiro Oga, Wataru Komatsubara, Ryo Inokuchi |
| 2023 | AISTATS | Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics. | Masahiro Kato, Masaaki Imaizumi, Kentaro Minami |
| 2022 | ICLR | Learning Causal Models from Conditional Moment Restrictions by Importance Weighting. | Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi |
| 2022 | KDD | Learning Classifiers under Delayed Feedback with a Time Window Assumption. | Shota Yasui, Masahiro Kato |
| 2021 | ICML | Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation. | Masahiro Kato, Takeshi Teshima |
| 2021 | WWW | Density-Ratio Based Personalised Ranking from Implicit Feedback. | Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh |
| 2021 | SIGIR | Scalable Personalised Item Ranking through Parametric Density Estimation. | Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh |
| 2019 | ICLR | Learning from Positive and Unlabeled Data with a Selection Bias. | Masahiro Kato, Takeshi Teshima, Junya Honda |
| 2018 | ICRA | Teach-and-Replay of Mobile Robot with Particle Filter on Episode. | Ryuichi Ueda, Masahiro Kato, Atsushi Saito, Ryo Okazaki |
| 2008 | ICIP | Local-spectrum-based distinction between handwritten and machine-printed characters. | Jumpei Koyama, Akira Hirose, Masahiro Kato |
| 2008 | IJCNN | Distinction between handwritten and machine-printed characters with no need to locate character or text line position. | Jumpei Koyama, Masahiro Kato, Akira Hirose |
| 2007 | ICONIP | Handwritten Character Distinction Method Inspired by Human Vision Mechanism. | Jumpei Koyama, Masahiro Kato, Akira Hirose |