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Found 2 papers, 2 papers with code
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Bayesian Optimization (BO) is a class of black-box, surrogate-based heuristics that can efficiently optimize problems that are expensive to evaluate, and hence admit only small evaluation budgets.
PI is back! Switching Acquisition Functions in Bayesian Optimization
We also compare this to a random schedule and round-robin selection of EI and PI.
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