English(EN) Convergence Rates of Gaussian Process Thompson Sampling for Efficient Global Optimization

新研究详细介绍了GP-TS的收敛速度并引入了GP-CTS

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

一篇新研究论文详细介绍了高斯过程汤普森采样（GP-TS）在高效全局优化方面的进展。该研究确定了GP-TS在无噪声条件下的收敛速度，特别是对于Matérn核。研究人员还引入了高斯过程有界汤普森采样（GP-CTS），这是一种旨在消除对数惩罚并实现最优收敛速度的改进方法。 AI

影响引入了一种优化昂贵黑盒函数的新方法，有可能提高各种AI应用的效率。

排序理由在arXiv上发表的研究论文，详细介绍了算法改进。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Haowei Wang, Yilin Zheng · 2026-10-15 04:00

高斯过程汤普森采样在高效全局优化中的收敛率

arXiv:2610.19925v1 Announce Type: cross Abstract: 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 no…