Author

J. E. Hammond

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Preprint Aug 2026

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.

J. E. Hammond, T. Soderstrom, B. Korgel et al. · 0 citations