A Quantile-based Approach for Hyperparameter Transfer Learning

David Salinas, Huibin Shen, Valerio Perrone

Abstract: Bayesian optimization (BO) is a popular methodology to tune the hyperparameters of expensive black-box functions. Traditionally, BO focuses on a single task at a time and is not designed to leverag...