Machine Learning Lab

Mallik, Neeratyoy; Janowski, Maciej; Hog, Johannes; Rakotoarison, Herilalaina; Klein, Aaron; Grabocka, Josif; Hutter, Frank

Warmstarting for Scaling Language Models Inproceedings

In: NeurIPS 2024 Workshop Adaptive Foundation Models, 2024.

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

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

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

Viering, Tom Julian; Adriaensen, Steven; Rakotoarison, Herilalaina; Hutter, Frank

From Epoch to Sample Size: Developing New Data-driven Priors for Learning Curve Prior-Fitted Networks Inproceedings

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

Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings

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

Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings

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