Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling

23 Feb 2020Setareh AriafarZelda MarietEhsan ElhamifarDana BrooksJennifer DyJasper Snoek

Many contemporary machine learning models require extensive tuning of hyperparameters to perform well. A variety of methods, such as Bayesian optimization, have been developed to automate and expedite this process... (read more)

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