Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes

Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding. Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. In Alexander T. Ihler, Dominik Janzing, editors, Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA. AUAI Press, 2016. [doi]

Abstract

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