13 citations · 14 across the 6 of their papers we have counts for
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cs.LG2024
On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise
Jingyi Wang, Haowei Wang, Cosmin G. Petra +1
Bayesian optimization (BO) with Gaussian process (GP) surrogate models is a powerful black-box optimization method. Acquisition functions are a critical part of a BO algorithm as t…
math.OC2024★ 1 cited
Constrained Bayesian optimization with merit functions
J. Wang, C. G. Petra, J. L. Peterson
Bayesian optimization is a powerful optimization tool for problems where native first-order derivatives are unavailable. Recently, constrained Bayesian optimization (CBO) has been…