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Convergence Rates of Gaussian Process Thompson Sampling for Efficient Global Optimization

Efficient global optimization aims to identify a global optimum of an expensive black-box function within a limited evaluation budget $N$. We investigate the convergence rates of Gaussian process Thompson sampling (GP-TS) under noiseless observations, assuming a fixed objective function in a…

By Haowei Wang, Yilin ZhengarXiv - stat.ML

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Originally published by arXiv - stat.ML on Oct 15, 2026.

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