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Simulation Based Bayesian Optimization

Published in arXiv (Cornell University) • Jan 19, 2024
Authors:
Roi Naveiro
,
Becky Tang

Abstract

Bayesian Optimization (BO) is a powerful method for optimizing black-box functions by combining prior knowledge with ongoing function evaluations. BO constructs a probabilistic surrogate model of the objective function given the covariates, which is in turn used to inform the selection of future eva...

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