Mixed-Variable Bayesian Optimization
Published in Repository for Publications and Research Data (ETH Zurich) • Jul 2, 2019
NobleIDNI8P58W28R97S42
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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