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Near-Optimal Regret Bounds for UCB-Style Gaussian Process Bandits via Data Thinning

arXiv:2610.28136v1 Announce Type: new Abstract: Gaussian process upper confidence bound (GP-UCB) has been widely studied, though its known regret upper bound is suboptimal. To obtain near-optimal regret upper bounds, existing studies mainly focus on non-adaptive methods, such as uncertainty samplin…

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  1. 2026-10-21 04:00 · arXiv stat.ML
    Near-Optimal Regret Bounds for UCB-Style Gaussian Process Bandits via Data Thinning

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