Wever, Marcel

12 publications

IJCAI 2024 Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO Jasmin Brandt, Marcel Wever, Viktor Bengs, Eyke Hüllermeier

ECML-PKDD 2024 MetaQuRe: Meta-Learning from Model Quality and Resource Consumption Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig

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

IJCAI 2023 A Survey of Methods for Automated Algorithm Configuration (Extended Abstract) Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney

MLJ 2023 Algorithm Selection on a Meta Level Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier

MLJ 2023 Naive Automated Machine Learning Felix Mohr, Marcel Wever

JAIR 2023 Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier

MLJ 2022 A Flexible Class of Dependence-Aware Multi-Label Loss Functions Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp

JAIR 2022 A Survey of Methods for Automated Algorithm Configuration Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney

ICMLW 2021 Replacing the Ex-Def Baseline in AutoML by Naive AutoML Felix Mohr, Marcel Wever

ACML 2020 Run2Survive: A Decision-Theoretic Approach to Algorithm Selection Based on Survival Analysis Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier

MLJ 2018 ML-Plan: Automated Machine Learning via Hierarchical Planning Felix Mohr, Marcel Wever, Eyke Hüllermeier