Steven Adriaensen

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Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Nowe AnnGewoon hoogleraarVerified email at vub.be
Jerry SwanCEO, Hylomorph SolutionsVerified email at hylomorph-solutions.com
Kevin HammondHead of Software Engineering (Cardano Core), IOGVerified email at iohk.io
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchVerified email at ai.uni-hannover.de
André BiedenkappUniversity of FreiburgVerified email at cs.uni-freiburg.de
David R WhiteFormer AcademicVerified email at sheffield.ac.uk
Gresa ShalaPhD candidate, University of FreiburgVerified email at informatik.uni-freiburg.de
Noor AwadPostdoctoral Research Fellow, University of FreiburgVerified email at cs.uni-freiburg.de
Theresa EimerRL Team Lead, Leibniz Universität HannoverVerified email at ai.uni-hannover.de
Tim BrysVrije Universiteit Brussel; Action Research AssociatesVerified email at ai.vub.ac.be
Ahmed KheiriUniversity of ManchesterVerified email at manchester.ac.uk
Colin JohnsonUniversity of NottinghamVerified email at nottingham.ac.uk
Faustyna KrawiecPhD Student, University of CambridgeVerified email at cam.ac.uk
Stefan VoßProfessor of Information Systems, University of HamburgVerified email at uni-hamburg.de
Juan J. Merelo GuervósUniversity of GranadaVerified email at ugr.es
Alexander E.I. BrownleeSenior Lecturer, University of Stirling, previously Loughborough, Robert GordonVerified email at cs.stir.ac.uk
Pablo García-Sánchez (ORCID:0000-...Universidad de GranadaVerified email at ugr.es
Kenneth SörensenUniversity of AntwerpVerified email at uantwerpen.be
Ender ÖzcanProfessor of Computer Science and Operations Research, University of NottinghamVerified email at nottingham.ac.uk

Steven Adriaensen

Interim Professor, Albert-Ludwigs-Universität Freiburg

Verified email at informatik.uni-freiburg.de - Homepage

Automated Algorithm Design Artificial Intelligence Optimization Machine Learning Algorithmics


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Metaheuristics “in the large” J Swan, S Adriaensen, AEI Brownlee, K Hammond, CG Johnson, A Kheiri, ... European Journal of Operational Research 297 (2), 393-406, 2022	94	2022
A research agenda for metaheuristic standardization J Swan, S Adriaensen, M Bishr, EK Burke, JA Clark, P De Causmaecker, ... Proceedings of the XI metaheuristics international conference, 1-3, 2015	57	2015
Learning step-size adaptation in CMA-ES G Shala, A Biedenkapp, N Awad, S Adriaensen, M Lindauer, F Hutter Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020	39	2020
Automated dynamic algorithm configuration S Adriaensen, A Biedenkapp, G Shala, N Awad, T Eimer, M Lindauer, ... Journal of Artificial Intelligence Research 75, 1633-1699, 2022	38	2022
Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic S Adriaensen, T Brys, A Nowé Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014	34	2014
A benchmark set extension and comparative study for the hyflex framework S Adriaensen, G Ochoa, A Nowé 2015 IEEE Congress on Evolutionary Computation (CEC), 784-791, 2015	30	2015
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks S Adriaensen, H Rakotoarison, S Müller, F Hutter Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023	21	2023
DACBench: A benchmark library for dynamic algorithm configuration T Eimer, A Biedenkapp, M Reimer, S Adriaensen, F Hutter, M Lindauer Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021	20	2021
Designing reusable metaheuristic methods: A semi-automated approach S Adriaensen, T Brys, A Nowé 2014 IEEE Congress on Evolutionary Computation (CEC), 2969-2976, 2014	18	2014
Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex S Adriaensen, A Nowé 2016 IEEE Congress on Evolutionary Computation (CEC), 1485-1492, 2016	16	2016
Towards a White Box Approach to Automated Algorithm Design. S Adriaensen, A Nowé IJCAI, 554-560, 2016	16	2016
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization H Rakotoarison, S Adriaensen, N Mallik, S Garibov, E Bergman, F Hutter Forty-first International Conference on Machine Learning, 2024	7	2024
Extending the “open-closed principle” to automated algorithm configuration J Swan, S Adriænsen, AD Barwell, K Hammond, DR White Evolutionary computation 27 (1), 173-193, 2019	5	2019
An importance sampling approach to the estimation of algorithm performance in automated algorithm design S Adriaensen, F Moons, A Nowé Learning and Intelligent Optimization: 11th International Conference, LION …, 2017	2	2017
On the Semi-automated Design of Reusable Heuristics S Adriaensen Vrije Universiteit Brussel, 2018	1	2018
NOSBench-101: Towards Reproducible Neural Optimizer Search G Karakasli, S Adriaensen, F Hutter AutoML Conference 2024 (Workshop Track), 2024		2024
From Epoch to Sample Size: Developing New Data-driven Priors for Learning Curve Prior-Fitted Networks TJ Viering, S Adriaensen, H Rakotoarison, F Hutter AutoML Conference 2024 (Workshop Track), 2024		2024
On Task Scheduling Policies for Work-Stealing Schedulers S Adriaensen, Y Fathy, A Nowé Proceedings of the Multidisciplinary International Conference on Scheduling …, 2015		2015

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