no code implementations • NeurIPS 2021 • François Bachoc, Tommaso R Cesari, Sébastien Gerchinovitz
We study the problem of zeroth-order (black-box) optimization of a Lipschitz function $f$ defined on a compact subset $\mathcal X$ of $\mathbb R^d$, with the additional constraint that algorithms must certify the accuracy of their recommendations.
