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Masahiro Kato
Masahiro Kato
Other names加藤 真大
Verified email at g.ecc.u-tokyo.ac.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
1052018
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
40*2020
Non-negative bregman divergence minimization for deep direct density ratio estimation
M Kato, T Teshima
International Conference on Machine Learning (ICML), 2021
282021
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
24*2020
Rate-optimal bayesian simple regret in best arm identification
J Komiyama, K Ariu, M Kato, C Qin
Mathematics of Operations Research, 2023
13*2023
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
132018
Policy choice and best arm identification: Asymptotic analysis of exploration sampling
K Ariu, M Kato, J Komiyama, K McAlinn, C Qin
arXiv preprint arXiv:2109.08229, 2021
102021
The role of contextual information in best arm identification
M Kato, K Ariu
arXiv preprint arXiv:2106.14077, 2021
102021
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
9*2021
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
M Kato, K McAlinn, S Yasui
Neural Information Processing Systems (NeurIPS), 2021
9*2021
Atro: Adversarial training with a rejection option
M Kato, Z Cui, Y Fukuhara
arXiv preprint arXiv:2010.12905, 2020
82020
Off-policy evaluation of bandit algorithm from dependent samples under batch update policy
M Kato, Y Kaneko
arXiv preprint arXiv:2010.13554, 2020
52020
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
4*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
4*2022
Density-Ratio Based Personalised Ranking from Implicit Feedback
R Togashi, M Kato, M Otani, S Satoh
The Web Conference (WWW), 2021
42021
Fixed-budget hypothesis best arm identification: On the information loss in experimental design
M Kato, M Imaizumi, T Ishihara, T Kitagawa
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023
22023
Bayesian Spatial Predictive Synthesis
D Cabel, S Sugasawa, M Kato, K Takanashi, K McAlinn
arXiv preprint arXiv:2203.05197, 2022
22022
Best arm identification with contextual information under a small gap
M Kato, M Imaizumi, T Ishihara, T Kitagawa
arXiv preprint arXiv:2209.07330, 2022
22022
Worst-case optimal multi-armed gaussian best arm identification with a fixed budget
M Kato
arXiv e-prints, arXiv: 2310.19788, 2023
12023
Synthetic Control Methods by Density Matching under Implicit Endogeneitiy
M Kato, A Ohda, M Imaizumi, K McAlinn
arXiv preprint arXiv:2307.11127, 2023
12023
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