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Aug, 2020
关于标准和鲁棒高斯过程赌博优化的下限
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
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Xu Cai, Jonathan Scarlett
TL;DR
本文研究在Reproducing Kernel Hilbert Space(RKHS)中具有有界范数的函数的黑盒优化问题的算法无关下限,并提供了在标准噪声和各类扰动下的决策边界。
Abstract
In this paper, we consider algorithm-independent lower bounds for the problem of
black-box optimization
of functions having a bounded norm is some
reproducing kernel hilbert space
(RKHS), which can be viewed as a
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