128 citations · 316 across the 6 of their papers we have counts for
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stat.ML2017★ 4 cited
Discretization-free Knowledge Gradient Methods for Bayesian Optimization
Jian Wu, Peter I. Frazier
This paper studies Bayesian ranking and selection (R&S) problems with correlated prior beliefs and continuous domains, i.e. Bayesian optimization (BO). Knowledge gradient methods […
stat.ML2017★ 128 cited
Bayesian Optimization with Gradients
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson +1
Bayesian optimization has been successful at global optimization of expensive-to-evaluate multimodal objective functions. However, unlike most optimization methods, Bayesian optimi…