Matthias Feurer

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 26

Top Topics

Hyperparameters

Top Venues

J. Mach. Learn. Res.

NeurIPS Datasets and Benchmarks

Publications

Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm. CoRR (2024)
David Rundel, Julius Kobialka, Constantin von Crailsheim, Matthias Feurer, Thomas Nagler, David Rügamer
Interpretable Machine Learning for TabPFN. CoRR (2024)
Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
Position: Why We Must Rethink Empirical Research in Machine Learning. CoRR (2024)
Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization. CoRR (2024)
Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. 79 (2024)
Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. CoRR (2023)
Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter
PFNs4BO: In-Context Learning for Bayesian Optimization. ICML (2023)
Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter
PFNs Are Flexible Models for Real-World Bayesian Optimization. CoRR (2023)
Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. IDA (2023)
Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. CoRR (2022)
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. J. Mach. Learn. Res. 23 (2022)
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning. J. Mach. Learn. Res. 23 (2022)
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren
OpenML Benchmarking Suites. NeurIPS Datasets and Benchmarks (2021)
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. CoRR (2021)
Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter
OpenML-Python: an extensible Python API for OpenML. J. Mach. Learn. Res. 22 (2021)
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, René Sass, Frank Hutter
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. CoRR (2021)
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. NeurIPS Datasets and Benchmarks (2021)
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter
Auto-Sklearn 2.0: The Next Generation. CoRR (2020)
Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter
Squirrel: A Switching Hyperparameter Optimizer. CoRR (2020)
Daniel Stock, Thomas Bauernhansl, Michael Weyrich, Matthias Feurer, Rolf Wutzke
System Architectures for Cyber-Physical Production Systems enabling Self-X and Autonomy. ETFA (2020)
Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter
OpenML-Python: an extensible Python API for OpenML. CoRR (2019)
Marius Lindauer, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Frank Hutter
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters. CoRR (2019)
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Joshua Marben, Philipp Müller, Frank Hutter
BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters. CoRR (2019)
Matthias Feurer, Benjamin Letham, Eytan Bakshy
Scalable Meta-Learning for Bayesian Optimization. CoRR (2018)
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren
OpenML Benchmarking Suites and the OpenML100. CoRR (2017)
Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
Towards Automatically-Tuned Neural Networks. AutoML@ICML (2016)
Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum, Frank Hutter
Efficient and Robust Automated Machine Learning. NIPS (2015)
Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
Initializing Bayesian Hyperparameter Optimization via Meta-Learning. AAAI (2015)
Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
Using Meta-Learning to Initialize Bayesian Optimization of Hyperparameters. MetaSel@ECAI (2014)
Michael Keckeisen, Matthias Feurer, Markus Wacker
Tailor tools for interactive design of clothing in virtual environments. VRST (2004)
Michael Keckeisen, Stanislav L. Stoev, Matthias Feurer, Wolfgang Straßer
Interactive Cloth Simulation in Virtual Environments. VR (2003)
Stanislav L. Stoev, Matthias Feurer, Michael Ruckaberle, Wolfgang Straßer
Exploring the past: a toolset for visualization of historical events in virtual environments. VRST (2001)