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20192021
most citedPolicy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling

3 citations · 9 across the 5 of their papers we have counts for

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Showing 2021Show all

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econ.EM2021★ 3 cited

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…

cs.LG2021★ 3 cited

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…