Mohr, Felix

12 publications

NeurIPS 2025 Credal Prediction Based on Relative Likelihood Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier

NeurIPS 2025 LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved than Previously Thought Cheng Yan, Felix Mohr, Tom Julian Viering

MLJ 2024 Learning Curves for Decision Making in Supervised Machine Learning: A Survey Felix Mohr, Jan N. van Rijn

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

ECML-PKDD 2022 LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks Felix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn

NeurIPS 2022 Meta-Album: Multi-Domain Meta-Dataset for Few-Shot Image Classification Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu

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

AAAI 2021 Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model Felix Mohr, Viktor Bengs, Eyke Hüllermeier

ICMLW 2021 Towards Model Selection Using Learning Curve Cross-Validation Felix Mohr, Jan N. van Rijn

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