Gresa Shala

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Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
André BiedenkappUniversity of FreiburgVerified email at cs.uni-freiburg.de
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchVerified email at ai.uni-hannover.de
Steven AdriaensenPostdoctoral Researcher, Albert-Ludwigs-Universität FreiburgVerified email at informatik.uni-freiburg.de
Josif GrabockaProfessor of Machine LearningVerified email at utn.de
Theresa EimerDoctoral Researcher, Leibniz Universität HannoverVerified email at ai.uni-hannover.de
Thomas ElskenRecogniVerified email at recogni.com
Neeratyoy MallikPhD student, AutoML FreiburgVerified email at cs.uni-freiburg.de
Difan DengLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
Diederick VermettenLeiden UniversityVerified email at liacs.leidenuniv.nl
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenVerified email at uni-tuebingen.de
Hao WangLeiden UniversityVerified email at liacs.leidenuniv.nl
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
Matthias FeurerLMU Munich & Munich Center for Machine LearningVerified email at stat.uni-muenchen.de
Sebastian Pineda ArangoAlbert-Ludwigs-Universität FreiburgVerified email at cs.uni-freiburg.de

Gresa Shala

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


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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	31	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	26	2022
Transfer NAS with meta-learned bayesian surrogates G Shala, T Elsken, F Hutter, J Grabocka The Eleventh International Conference on Learning Representations, 2022	10	2022
Squirrel: a switching hyperparameter optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020	5	2020
AutoRL-Bench 1.0 G Shala, SP Arango, A Biedenkapp, F Hutter, J Grabocka Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022	4	2022
Gray-box gaussian processes for automated reinforcement learning G Shala, A Biedenkapp, F Hutter, J Grabocka The Eleventh International Conference on Learning Representations, 2022	2	2022
Hierarchical Transformers are Efficient Meta-Reinforcement Learners G Shala, A Biedenkapp, J Grabocka arXiv preprint arXiv:2402.06402, 2024		2024
Method and device for learning a strategy and for implementing the strategy S Adriaenssen, A Biedenkapp, F Hutter, G Shala, M Lindauer, N Awad US Patent App. 17/305,586, 2022		2022

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