Eggensperger, Katharina

15 publications

NeurIPS 2025 Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger

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: 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

ICLRW 2024 Towards Bandit-Based Optimization for Automated Machine Learning Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger

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

ICLR 2023 TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter

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

NeurIPSW 2022 TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter

JAIR 2019 Pitfalls and Best Practices in Algorithm Configuration Katharina Eggensperger, Marius Lindauer, Frank Hutter

MLJ 2018 Efficient Benchmarking of Algorithm Configurators via Model-Based Surrogates Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown

IJCAI 2018 Neural Networks for Predicting Algorithm Runtime Distributions Katharina Eggensperger, Marius Lindauer, Frank Hutter

AAAI 2017 Efficient Parameter Importance Analysis via Ablation with Surrogates Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger H. Hoos

AAAI 2015 Efficient Benchmarking of Hyperparameter Optimizers via Surrogates Katharina Eggensperger, Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown

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