398 citations · 1.7k across the 20 of their papers we have counts for
Showing 2015Show all
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stat.ML2015★ 2 cited
A General Framework for Constrained Bayesian Optimization using Information-based Search
José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams +2
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 efficientl…
stat.ML2015★ 107 cited
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
José Miguel Hernández-Lobato, Michael A. Gelbart, Matthew W. Hoffman +2
Unknown constraints arise in many types of expensive black-box optimization problems. Several methods have been proposed recently for performing Bayesian optimization with constrai…