Feurer, Matthias

16 publications

AutoML 2025 CAPO: Cost-Aware Prompt Optimization Tom Zehle, Moritz Schlager, Timo Heiß, Matthias Feurer

ICLRW 2025 Efficiently Warmstarting MCMC for BNNs David Rundel, Emanuel Sommer, Bernd Bischl, David Rügamer, Matthias Feurer

AutoML 2025 Overtuning in Hyperparameter Optimization Lennart Schneider, Bernd Bischl, Matthias Feurer

JAIR 2024 Can Fairness Be Automated? Guidelines and Opportunities for Fairness-Aware AutoML Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter

ICML 2024 Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas C Mueller, Frank Hutter, Matthias Feurer, 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

NeurIPS 2024 Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer

NeurIPSW 2024 Towards Localization via Data Embedding for TabPFN Mykhailo Koshil, Thomas Nagler, Matthias Feurer, Katharina Eggensperger

ICML 2023 PFNs4BO: In-Context Learning for Bayesian Optimization Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter

JMLR 2022 Auto-Sklearn 2.0: Hands-Free AutoML via Meta-Learning Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter

NeurIPSW 2022 Bayesian Optimization with a Neural Network Meta-Learned on Synthetic Data Only Samuel Müller, Sebastian Pineda Arango, Matthias Feurer, Josif Grabocka, Frank Hutter

MLOSS 2022 SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter

MLOSS 2021 OpenML-Python: An Extensible Python API for OpenML Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter

AutoML 2016 Towards Automatically-Tuned Neural Networks Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter

NeurIPS 2015 Efficient and Robust Automated Machine Learning Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, Frank Hutter

AAAI 2015 Initializing Bayesian Hyperparameter Optimization via Meta-Learning Matthias Feurer, Jost Tobias Springenberg, Frank Hutter