ML Anthology

Bergman, Edward

4 publications

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
AutoML 2024 Don’t Waste Your Time: Early Stopping Cross-Validation Edward Bergman, Lennart Purucker, Frank Hutter
AutoML 2024 Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman, Frank Hutter
NeurIPS 2023 PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter