Bayesian Optimization of Hyperparameters from Noisy Marginal Likelihood Estimates

Oskar Gustafsson, Mattias Villani, Pär Stockhammar

Bayesian models often involve a small set of hyperparameters determined by maximizing the marginal likelihood. Bayesian optimization is a popular iterative method where a Gaussian…