Multi-Fidelity Bayesian Optimization with Unreliable Information Sources

Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski

Abstract: Bayesian optimization (BO) is a powerful framework for optimizing black-box, expensive-to-evaluate functions. Over the past decade, many algorithms have been proposed to integrate cheaper, lower-fi...