B. Korgel

Exploiting Separability in Multi-Scale Grey-Box Bayesian Optimization

This work considers grey-box optimization problems where the decision variables naturally partition into black-box variables and white-box variables, governed by a set of explicit, closed-form equations that also depend on the output of the black-box function.