A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization

Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden +1

Bayesian optimization through Gaussian process regression is an effective method of optimizing an unknown function for which every measurement is expensive. It approximates the obj…