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News/Instance-dependent Stochastic Lipschitz bandit
arxiv
PublishedOctober 27, 2026 at 4:00 AM

Instance-dependent Stochastic Lipschitz bandit

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arXiv:2605.29748v2 Announce Type: replace-cross Abstract: We study the Lipschitz bandit problem, where a learner sequentially maximizes an unknown Lipschitz function $f$ over a domain $\mathcal{X} \subset [0,1]^d$ using noisy pointwise evaluations. Existing regret bounds are either worst-case, scali

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