A General Framework for Constrained Bayesian Optimization using Information-based SearchA General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hern\'{a}ndez-Lobato, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, Zoubin Ghahramani; 17(160):1−53, 2016. Abstract We present an information-theoretic framework for solving global black-box optimization problems that also have black-box constraints. Of particular interest to us is to effi
