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Katharina Eggensperger

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Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML

Mar 15, 2023
Hilde Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter

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Mind the Gap: Measuring Generalization Performance Across Multiple Objectives

Dec 08, 2022
Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter

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Meta-Learning a Real-Time Tabular AutoML Method For Small Data

Jul 05, 2022
Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter

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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Sep 20, 2021
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, René Sass, Frank Hutter

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HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Sep 14, 2021
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter

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Squirrel: A Switching Hyperparameter Optimizer

Dec 16, 2020
Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, Andre' Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter

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Neural Model-based Optimization with Right-Censored Observations

Sep 29, 2020
Katharina Eggensperger, Kai Haase, Philipp Müller, Marius Lindauer, Frank Hutter

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Auto-Sklearn 2.0: The Next Generation

Jul 08, 2020
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter

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Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters

Aug 19, 2019
Marius Lindauer, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Frank Hutter

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BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters

Aug 16, 2019
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Joshua Marben, Philipp Müller, Frank Hutter

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