Budgeted Batch Bayesian Optimization With Unknown Batch Sizes

arXiv: Learning, Volume abs/1703.04842, 2017.

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Abstract:

Parameter settings profoundly impact the performance of machine learning algorithms and laboratory experiments. The classical grid search or trial-error methods are exponentially expensive in large parameter spaces, and Bayesian optimization (BO) offers an elegant alternative for global optimization of black box functions. In situations w...More

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