A General Framework for Constrained Bayesian Optimization using Information-based Search

30 Nov 2015José Miguel Hernández-LobatoMichael A. GelbartRyan P. AdamsMatthew W. HoffmanZoubin Ghahramani

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 efficiently solve problems with decoupled constraints, in which subsets of the objective and constraint functions may be evaluated independently... (read more)

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