Search Results for author: Niklas Hasebrook

Found 1 papers, 0 papers with code

Practitioner Motives to Select Hyperparameter Optimization Methods

no code implementations3 Mar 2022 Niklas Hasebrook, Felix Morsbach, Niclas Kannengießer, Marc Zöller, Jörg Franke, Marius Lindauer, Frank Hutter, Ali Sunyaev

Advanced programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization, have high sample efficiency in reproducibly finding optimal hyperparameter values of machine learning (ML) models.

Bayesian Optimization BIG-bench Machine Learning +1

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