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Mixed-Variable Bayesian Optimization

Published • Jul 1, 2020
NobleIDNI9P25W89R10S91
Authors:
Erik Daxberger
,
Anastasia Makarova
,
Matteo Turchetta

Abstract

The optimization of expensive to evaluate, black-box, mixed-variable functions, i.e. functions that have continuous and discrete inputs, is a difficult and yet pervasive problem in science and engineering. In Bayesian optimization (BO), special cases of this problem that consider fully continuous or...

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