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20092026
most citedOptimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays

70 citations · 245 across the 36 of their papers we have counts for

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Showing 2021Show all

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stat.ML2021★ 3 cited

Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits

Junpei Komiyama, Edouard Fouché, Junya Honda

We consider nonstationary multi-armed bandit problems where the model parameters of the arms change over time. We introduce the adaptive resetting bandit (ADR-bandit), a bandit alg…

stat.ML2021

Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences

Ikko Yamane, Junya Honda, Florian Yger +1

Ordinary supervised learning is useful when we have paired training data of input and output . However, such paired data can be difficult to collect in practice. In this pap…