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cs.LG2022
ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
Jixiang Qing, Henry B. Moss, Tom Dhaene +1
We present Parallel Feasible Pareto Frontier Entropy Search (ES) -- a novel information-theoretic acquisition function for multi-objective Bayesian optimization su…
cs.LG2016
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver +1
When approximating a black-box function, sampling with active learning focussing on regions with non-linear responses tends to improve accuracy. We present the FLOLA-Voronoi method…