Ruda Zhang

Optimizing Posterior Samples for Bayesian Optimization via Rootfinding

Bayesian optimization devolves the global optimization of a costly objective function to the global optimization of a sequence of acquisition functions. This inner-loop optimization can be catastrophically difficult if it involves posterior sample paths, especially in higher dimensions. We introduce…