Optimizing Bayesian acquisition functions in Gaussian Processes

Bayesian Optimization is an effective method for searching the global maxima of an objective function especially if the function is unknown. The process comprises of using a surrogate function and choosing an acquisition function followed by optimizing the acquisition function to find the next sampl...

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Veröffentlicht in:	arXiv.org 2021-11
Hauptverfasser:	Ashish Anil Pawar, Warbhe, Ujwal
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Gaussian process Maxima Optimization Sampling
Online-Zugang:	Volltext
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