| Learning from positive and unlabeled data with a selection bias M Kato, T Teshima, J Honda International Conference on Learning Representations (ICLR), 2018 | 141 | 2018 |
| Off-policy evaluation and learning for external validity under a covariate shift M Kato, M Uehara, S Yasui Advances in Neural Information Processing Systems (NeurIPS), 2020 | 51* | 2020 |
| Non-negative bregman divergence minimization for deep direct density ratio estimation M Kato, T Teshima International Conference on Machine Learning (ICML), 2021 | 38 | 2021 |
| Adaptive experimental design for efficient treatment effect estimation: Randomized allocation via contextual bandit algorithm M Kato, T Ishihara, J Honda, Y Narita arXiv preprint arXiv:2002.05308 10, 32, 2020 | 38* | 2020 |
| Rate-optimal bayesian simple regret in best arm identification J Komiyama, K Ariu, M Kato, C Qin Mathematics of Operations Research 49 (3), 1629-1646, 2024 | 19* | 2024 |
| A Comment on "Adaptive Treatment Assignment in Experiments for Policy Choice" 2021 K Ariu, M Kato, J Komiyama, K McAlinn, C Qin Econometrica, 2021 | 19* | 2021 |
| The role of contextual information in best arm identification M Kato, K Ariu arXiv preprint arXiv:2106.14077, 2021 | 16 | 2021 |
| Alternate estimation of a classifier and the class-prior from positive and unlabeled data M Kato, L Xu, G Niu, M Sugiyama arXiv preprint arXiv:1809.05710, 2018 | 15 | 2018 |
| The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy M Kato, K McAlinn, S Yasui Neural Information Processing Systems (NeurIPS), 2021 | 13* | 2021 |
| Learning Causal Models from Conditional Moment Restrictions by Importance Weighting M Kato, M Imaizumi, K McAlinn, S Yasui, H Kakehi International Conference on Learning Representations (ICLR), 2021 | 11* | 2021 |
| Atro: Adversarial training with a rejection option M Kato, Z Cui, Y Fukuhara arXiv preprint arXiv:2010.12905, 2020 | 10 | 2020 |
| Asymptotically minimax optimal fixed-budget best arm identification for expected simple regret minimization M Kato, M Imaizumi, T Ishihara, T Kitagawa arXiv preprint arXiv:2302.02988, 2023 | 8* | 2023 |
| Learning Classifiers under Delayed Feedback with a Time Window Assumption S Yasui, M Kato Conference on Knowledge Discovery and Data Mining (KDD), 2286-2295, 2022 | 7* | 2022 |
| Density-Ratio Based Personalised Ranking from Implicit Feedback R Togashi, M Kato, M Otani, S Satoh The Web Conference (WWW), 2021 | 7 | 2021 |
| Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances M Kato arXiv preprint arXiv:2312.12741, 2023 | 6 | 2023 |
| Bayesian spatial predictive synthesis D Cabel, S Sugasawa, M Kato, K Takanashi, K McAlinn arXiv preprint arXiv:2203.05197, 2022 | 5 | 2022 |
| Off-policy evaluation of bandit algorithm from dependent samples under batch update policy M Kato, Y Kaneko arXiv preprint arXiv:2010.13554, 2020 | 5 | 2020 |
| Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices M Kato, A Oga, W Komatsubara, R Inokuchi International Conference on Machine Learning (ICML), 2024 | 4 | 2024 |
| Adaptive Experimental Design for Policy Learning M Kato, K Okumura, T Ishihara, T Kitagawa arXiv preprint arXiv:2401.03756, 2024 | 4 | 2024 |
| Mean-Variance Efficient Reinforcement Learning by Expected Quadratic Utility Maximization M Kato, K Nakagawa, K Abe, T Morimura | 4* | 2020 |
