Exploration strategies for Gaussian process bandit optimization with inference regret guarantees
arXiv:2610.16187v1 Announce Type: new Abstract: Existing cumulative regret guarantees for Bayesian optimization (BO) do not necessarily characterize the quality of the algorithm's final output. This gap is critical under noisy evaluations, where the goal is to return a single high-quality recommend…
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- 2026-10-14 04:00 · arXiv stat.ML
Exploration strategies for Gaussian process bandit optimization with inference regret guarantees