168 citations · 656 across the 19 of their papers we have counts for
Showing 2021 · stat.MLShow all
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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.ML2021★ 168 cited
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
Florian Pargent, Florian Pfisterer, Janek Thomas +1
Since most machine learning (ML) algorithms are designed for numerical inputs, efficiently encoding categorical variables is a crucial aspect in data analysis. A common problem are…