Kota Matsui

No-Regret Bayesian Optimization with Stochastic Observation Failures

We study Bayesian optimization problems where observation of the objective function fails stochastically, e.g., synthesis failures in materials development. For this problem, although several heuristic methods have been proposed, they do not have theoretical guarantees and sometimes deteriorate in p…