12 citations · 50 across the 23 of their papers we have counts for
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stat.ML2022
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap
Masahiro Kato, Kaito Ariu, Masaaki Imaizumi +2
We consider fixed-budget best-arm identification in two-armed Gaussian bandit problems. One of the longstanding open questions is the existence of an optimal strategy under which t…
stat.ML2020★ 2 cited
Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales
Masahiro Kato
This study addresses the problem of off-policy evaluation (OPE) from dependent samples obtained via the bandit algorithm. The goal of OPE is to evaluate a new policy using historic…
stat.ML2020★ 12 cited
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
Masahiro Kato, Masatoshi Uehara, Shota Yasui
We consider evaluating and training a new policy for the evaluation data by using the historical data obtained from a different policy. The goal of off-policy evaluation (OPE) is t…