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Masahiro Kato
Masahiro Kato
Cyberagent.Inc, The University of Tokyo
Verified email at cyberagent.co.jp - Homepage
Title
Cited by
Cited by
Year
Learning from positive and unlabeled data with a selection bias
M Kato, T Teshima, J Honda
International Conference on Learning Representations (ICLR), 2018
442018
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
24*2020
Non-negative bregman divergence minimization for deep direct density ratio estimation
M Kato, T Teshima
International Conference on Machine Learning (ICML), 2021
102021
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
102018
Adaptive experimental design for efficient treatment effect estimation
M Kato, T Ishihara, J Honda, Y Narita
arXiv preprint arXiv:2002.05308, 2020
7*2020
Optimal Simple Regret in Bayesian Best Arm Identification
J Komiyama, K Ariu, M Kato, C Qin
arXiv preprint arXiv:2111.09885, 2021
42021
Off-policy evaluation of bandit algorithm from dependent samples under batch update policy
M Kato, Y Kaneko
arXiv preprint arXiv:2010.13554, 2020
42020
The Role of Contextual Information in Best Arm Identification
M Kato, K Ariu
arXiv preprint arXiv:2106.14077, 2021
32021
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
M Kato, K McAlinn, S Yasui
Neural Information Processing Systems (NeurIPS), 2021
3*2021
Density-Ratio Based Personalised Ranking from Implicit Feedback
R Togashi, M Kato, M Otani, S Satoh
The Web Conference (WWW), 2021
22021
A practical guide of off-policy evaluation for bandit problems
M Kato, K Abe, K Ariu, S Yasui
arXiv preprint arXiv:2010.12470, 2020
22020
Mean-Variance Efficient Reinforcement Learning by Expected Quadratic Utility Maximization
M Kato, K Nakagawa, K Abe, T Morimura
2*2020
Best Arm Identification with a Fixed Budget under a Small Gap
M Kato, K Ariu, M Imaizumi, M Uehara, M Nomura, C Qin
stat 1050, 11, 2022
12022
Atro: Adversarial training with a rejection option
M Kato, Z Cui, Y Fukuhara
arXiv preprint arXiv:2010.12905, 2020
12020
Learning Classifiers under Delayed Feedback with a Time Window Assumption
M Kato, S Yasui
arXiv preprint arXiv:2009.13092, 2020
12020
Confidence interval for off-policy evaluation from dependent samples via bandit algorithm: Approach from standardized martingales
M Kato
arXiv preprint arXiv:2006.06982, 2020
12020
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
M Kato, M Imaizumi, K Minami
arXiv preprint arXiv:2201.13127, 2022
2022
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
2021
Policy Choice and Best Arm Identification: Comments on" Adaptive Treatment Assignment in Experiments for Policy Choice"
K Ariu, M Kato, J Komiyama, K McAlinn
arXiv preprint arXiv:2109.08229, 2021
2021
Scalable Personalised Item Ranking through Parametric Density Estimation
R Togashi, M Kato, M Otani, T Sakai, S Satoh
Conference on Research and Development in Information Retrieval (SIGIR), 2021
2021
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Articles 1–20