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cs.LG2025
Bayesian Optimisation: Which Constraints Matter?
Xietao Wang Lin, Juan Ungredda, Max Butler +4
Bayesian optimisation has proven to be a powerful tool for expensive global black-box optimisation problems. In this paper, we propose new Bayesian optimisation variants of the pop…
cs.LG2020
On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints
Alma Rahat, Michael Wood
We are often interested in identifying the feasible subset of a decision space under multiple constraints to permit effective design exploration. If determining feasibility require…