On Local Optimizers of Acquisition Functions in Bayesian Optimization

24 Jan 2019Jungtaek KimSeungjin Choi

Bayesian optimization is a sample-efficient method for finding a global optimum of an expensive-to-evaluate black-box function. A global solution is found by accumulating a pair of query point and its function value, repeating these two procedures: (i) modeling a surrogate function; (ii) maximizing an acquisition function to determine where next to query... (read more)

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