Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints

no code implementations • 12 Oct 2023 • Fengxue Zhang, Zejie Zhu, Yuxin Chen

Optimizing objectives under constraints, where both the objectives and constraints are black box functions, is a common scenario in real-world applications such as scientific experimental design, design of medical therapies, and industrial process optimization.

Active Learning Bayesian Optimization +1