Exploration Enhanced Expected Improvement for Bayesian Optimization

ECML/PKDD (2), pp. 621-637, 2018.

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Abstract:

Bayesian optimization (BO) is a sample-efficient method for global optimization of expensive, noisy, black-box functions using probabilistic methods. The performance of a BO method depends on its selection strategy through an acquisition function. This must balance improving our understanding of the function in unknown regions (exploratio...More

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