Boulesteix, Anne-Laure

3 publications

DMLR 2025 Constructing Confidence Intervals for “the” Generalization Error – A Comprehensive Benchmark Study Hannah Schulz-Kümpel, Sebastian Felix Fischer, Roman Hornung, Anne-Laure Boulesteix, Thomas Nagler, Bernd Bischl

ICML 2024 Position: Why We Must Rethink Empirical Research in Machine Learning Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl

JMLR 2019 Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst, Anne-Laure Boulesteix, Bernd Bischl