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Bayesian Optimization using Deep Gaussian Processes

Published in arXiv (Cornell University) • May 7, 2019
Authors:
Ali Hebbal
,
Loïc Brevault
,
Mathieu Balesdent

Abstract

Bayesian Optimization using Gaussian Processes is a popular approach to deal with the optimization of expensive black-box functions. However, because of the a priori on the stationarity of the covariance matrix of classic Gaussian Processes, this method may not be adapted for non-stationary function...

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