Profile – Machine Learning Lab

HPO, HPO Staff, Postdoctoral Research Fellow

Steven Adriaensen

Postal address

Institut für Informatik
Albert-Ludwigs-Universität Freiburg
Sekretariat Hutter/Maschinelles Lernen
Georges-Köhler-Allee 074
79110 Freiburg, Germany

Fax

+49 761 203-74217

Office

Building 074, Room 00-014

+49 761 203-97947

adriaens@cs.uni-freiburg.de

Publications

About

Since February 2020, I am a Postdoctoral researcher at the Machine Learning Group. Before that I completed my PhD in computer science at the Vrije Universiteit Brussels, Belgium.

Research Interests

My research interests lie at the intersection of algorithmics and artificial intelligence. In particular, I am interested in how computers can help humans design better algorithms. During my PhD, I worked on automating the design of metaheuristics for solving hard combinatorial optimization problems. At Freiburg, my research is geared towards automating Machine / Deep / Reinforcement Learning. More precisely, my research areas include:

AutoML
Dynamic Algorithm Configuration
Learning to Learn
Deep Learning
Evolutionary Algorithms
Optimization

Publications

2024

Karakasli, Goktug; Adriaensen, Steven; Hutter, Frank

NOSBench-101: Towards Reproducible Neural Optimizer Search 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, 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.

2023

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.

2022

Adriaensen, Steven; Biedenkapp, André; Shala, Gresa; Awad, Noor; Eimer, Theresa; Lindauer, Marius; Hutter, Frank

Automated Dynamic Algorithm Configuration Journal Article

In: Journal of Artificial Intelligence Research (JAIR), vol. 75, pp. 1633-1699, 2022.

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.

2021

Eimer, Theresa; Biedenkapp, André; Reimer, Maximilian; Adriaensen, Steven; Hutter, Frank; Lindauer, Marius

DACBench: A Benchmark Library for Dynamic Algorithm Configuration Inproceedings

In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI'21), ijcai.org, 2021.

2020

Shala, Gresa; Biedenkapp, André; Awad, Noor; Adriaensen, Steven; Lindauer, Marius; Hutter, Frank

Learning Step-Size Adaptation in CMA-ES Inproceedings

In: Proceedings of the Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN'20), 2020.