Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start

Valerio Perrone, Rodolphe Jenatton, Matthias Seeger +1

Bayesian optimization (BO) is a model-based approach for gradient-free black-box function optimization. Typically, BO is powered by a Gaussian process (GP), whose algorithmic compl…