Machine Learning Lab

Bordne, Philipp; Hasan, M. Asif; Bergman, Eddie; Awad, Noor; Biedenkapp, André

CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Workshop Track, 2024.

Bergman, Eddie; Purucker, Lennart; Hutter, Frank

Don’t Waste Your Time: Early Stopping Cross-Validation Inproceedings

In: Proceedings of the Third International Conference on Automated Machine Learning (AutoML 2024), Methods Track, 2024.

Rakotoarison, Herilalaina; Adriaensen, Steven; Mallik, Neeratyoy; Garibov, Samir; Bergman, Eddie; Hutter, Frank

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Inproceedings

In: Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.

Mallik, Neeratyoy; Bergman, Eddie; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Lindauer, Marius; Nardi, Luigi; Hutter, Frank

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Sass, René; Bergman, Eddie; Biedenkapp, André; Hutter, Frank; Lindauer, Marius

DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning Inproceedings

In: Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22), 2022.

Mallik, Neeratyoy; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Bergman, Eddie; Lindauer, Marius; Nardi, Luigi; Hutter, Frank

PriorBand: HyperBand + Human Expert Knowledge Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.