3 citations · 9 across the 5 of their papers we have counts for
5 papers
Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling
Kaito Ariu, Masahiro Kato, Junpei Komiyama +2
We consider the "policy choice" problem -- otherwise known as best arm identification in the bandit literature -- proposed by Kasy and Sautmann (2021) for adaptive experimental des…
The Role of Contextual Information in Best Arm Identification
Masahiro Kato, Kaito Ariu
We study the best-arm identification problem with fixed confidence when contextual (covariate) information is available in stochastic bandits. Although we can use contextual inform…
Efficient Adaptive Experimental Design for Average Treatment Effect Estimation
Masahiro Kato, Takuya Ishihara, Junya Honda +1
We study how to efficiently estimate average treatment effects (ATEs) using adaptive experiments. In adaptive experiments, experimenters sequentially assign treatments to experimen…
Model Specification Test with Unlabeled Data: Approach from Covariate Shift
Masahiro Kato, Hikaru Kawarazaki
We propose a novel framework of the model specification test in regression using unlabeled test data. In many cases, we have conducted statistical inferences based on the assumptio…
Particle Filter on Episode
Ryuichi Ueda, Masahiro Kato, Atsushi Saito
Differently from animals, robots can record its experience correctly for long time. We propose a novel algorithm that runs a particle filter on the time sequence of the experience.…