Bayesian Optimization Via Barrier Functions
Hybrid optimization methods that combine statistical modeling with mathematical programming have become a popular solution for Bayesian optimization (BO) because they can better leverage both the e…
The Statistical Filter Approach to Constrained Optimization
Expensive black box systems arise in many engineering applications but can be difficult to optimize because their output functions may be complex, multi-modal, and difficult to understand. The task…
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