\section{Impact Statements}\label{sec:impact}
Bayesian optimization with unknown constraints has emerged as a powerful tool in diverse fields, including scientific experimental design and engineering optimization tasks. This new algorithm provides a principled solution for this challenging problem, offering several potential benefits, including improved efficiency and enhanced robustness.  No major ethical concerns are anticipated, given the algorithm's generality and focus on solving practical problems.