4 citations · 4 across the 7 of their papers we have counts for
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stat.CO2021
Triangulation candidates for Bayesian optimization
Robert B. Gramacy, Annie Sauer, Nathan Wycoff
Bayesian optimization involves "inner optimization" over a new-data acquisition criterion which is non-convex/highly multi-modal, may be non-differentiable, or may otherwise thwart…
math.OC2021
A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization
Mickael Binois, Nathan Wycoff
Bayesian Optimization, the application of Bayesian function approximation to finding optima of expensive functions, has exploded in popularity in recent years. In particular, much…
stat.ML2021
Sensitivity Prewarping for Local Surrogate Modeling
Nathan Wycoff, Mickaël Binois, Robert B. Gramacy
In the continual effort to improve product quality and decrease operations costs, computational modeling is increasingly being deployed to determine feasibility of product designs…