Tuning Bayesian optimization's own hyperparameters substantially improves its anytime performance, and the tuned settings transfer within and sometimes across benchmark families.
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Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
Tuning Bayesian optimization's own hyperparameters substantially improves its anytime performance, and the tuned settings transfer within and sometimes across benchmark families.