Steven Adriaensen

According to our database, Steven Adriaensen authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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

CoRR, 2024

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Automated Dynamic Algorithm Configuration.

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

J. Artif. Intell. Res., 2022

2021

DACBench: A Benchmark Library for Dynamic Algorithm Configuration.

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning Step-Size Adaptation in CMA-ES.

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2017

An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design.

Steven Adriaensen, Filip Moons, Ann Nowé

Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

2016

Towards a White Box Approach to Automated Algorithm Design.

Steven Adriaensen, Ann Nowé

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex.

Steven Adriaensen, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A benchmark set extension and comparative study for the HyFlex framework.

Steven Adriaensen, Gabriela Ochoa, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic.

Steven Adriaensen, Tim Brys, Ann Nowé

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Designing reusable metaheuristic methods: A semi-automated approach.

Steven Adriaensen, Tim Brys, Ann Nowé

Proceedings of the IEEE Congress on Evolutionary Computation, 2014