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20162022
most citedPerformance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data

629 citations · 920 across the 6 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

stat.ML2021★ 49 cited

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Bernd Bischl, Martin Binder, Michel Lang +9

Most machine learning algorithms are configured by one or several hyperparameters that must be carefully chosen and often considerably impact performance. To avoid a time consuming…

stat.ME2021

Improving Adaptive Seamless Designs through Bayesian optimization

Jakob Richter, Tim Friede, Jörg Rahnenführer

We propose to use Bayesian optimization (BO) to improve the efficiency of the design selection process in clinical trials. BO is a method to optimize expensive black-box functions,…