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cs.LG2026
Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
Wenbin Wang, Colin N. Jones
Bayesian optimization (BO) is an efficient framework for optimizing expensive black-box functions. However, it is typically formulated as learning an end-to-end mapping from inputs…
cs.LG2024
Principled Preferential Bayesian Optimization
Wenjie Xu, Wenbin Wang, Yuning Jiang +2
We study the problem of preferential Bayesian optimization (BO), where we aim to optimize a black-box function with only preference feedback over a pair of candidate solutions. Ins…