André Biedenkapp

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Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyE-mailová adresa ověřena na: cs.uni-freiburg.de
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchE-mailová adresa ověřena na: ai.uni-hannover.de
Raghu RajanUniversity of FreiburgE-mailová adresa ověřena na: cs.uni-freiburg.de
Theresa EimerRL Team Lead, Leibniz Universität HannoverE-mailová adresa ověřena na: ai.uni-hannover.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenE-mailová adresa ověřena na: uni-tuebingen.de
Matthias FeurerLMU MunichE-mailová adresa ověřena na: stat.uni-muenchen.de
Difan DengLeibniz Universität HannoverE-mailová adresa ověřena na: tnt.uni-hannover.de
Gresa ShalaPhD candidate, University of FreiburgE-mailová adresa ověřena na: informatik.uni-freiburg.de
Carolin BenjaminsPhD Candidate | Leibniz University HannoverE-mailová adresa ověřena na: ai.uni-hannover.de
Baohe ZhangPhD Student at University of FreiburgE-mailová adresa ověřena na: cs.uni-freiburg.de
Roberto CalandraProfessor, TU Dresden / Centre for Tactile Internet with Human-in-the-Loop (CeTI)E-mailová adresa ověřena na: tu-dresden.de
Nathan LambertResearch Scientist, Allen AIE-mailová adresa ověřena na: allenai.org
David SpeckPostdoctoral researcher, University of BaselE-mailová adresa ověřena na: unibas.ch
Josif GrabockaProfessor of Machine LearningE-mailová adresa ověřena na: utn.de
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaE-mailová adresa ověřena na: cs.rwth-aachen.de
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceE-mailová adresa ověřena na: mpi-inf.mpg.de
Nguyen DangUniversity of St AndrewsE-mailová adresa ověřena na: st-andrews.ac.uk

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André Biedenkapp

Další jménaAndre Biedenkapp

University of Freiburg

E-mailová adresa ověřena na: cs.uni-freiburg.de - Domovská stránka

Dynamic Algorithm Configuration Learning to Learn Reinforcement Learning AutoML AutoRL


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
SMAC3: A versatile Bayesian optimization package for hyperparameter optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... The Journal of Machine Learning Research 23 (1), 2475-2483, 2022	500*	2022
On the Importance of Hyperparameter Optimization for Model-Based Reinforcement Learning B Zhang, R Rajan, L Pineda, N Lambert, A Biedenkapp, K Chua, F Hutter, ... International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021	137	2021
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems J Parker-Holder, R Rajan, X Song, A Biedenkapp, Y Miao, T Eimer, ... Journal of Artificial Intelligence Research 74, 517-568, 2022	108	2022
Dynamic Algorithm Configuration: Foundation of a New Meta-Algorithmic Framework A Biedenkapp, HF Bozkurt, T Eimer, F Hutter, M Lindauer European Conference on Artificial Intelligence (ECAI'20) 24, 427-434, 2020	87	2020
Efficient Parameter Importance Analysis via Ablation with Surrogates A Biedenkapp, M Lindauer, K Eggensperger, F Hutter, C Fawcett, H Hoos Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 773-779, 2017	61	2017
Sample-Efficient Automated Deep Reinforcement Learning JKH Franke, G Köhler, A Biedenkapp, F Hutter International Conference on Learning Representations (ICLR'21) 9, 2021	56	2021
Boah: A tool suite for multi-fidelity bayesian optimization & analysis of hyperparameters M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, J Marben, ... arXiv preprint arXiv:1908.06756, 2019	54	2019
TempoRL: Learning When to Act A Biedenkapp, R Rajan, F Hutter, M Lindauer International Conference on Machine Learning (ICML'21) 38, 914-924, 2021	48*	2021
CAVE: Configuration Assessment, Visualization and Evaluation A Biedenkapp, J Marben, M Lindauer, F Hutter Learning and Intelligent Optimization (LION'18) 12, 115-130, 2018	47	2018
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	42	2022
Contextualize Me--The Case for Context in Reinforcement Learning C Benjamins, T Eimer, F Schubert, A Mohan, S Döhler, A Biedenkapp, ... Transactions on Machine Learning Research, 2023	41	2023
Learning Step-Size Adaptation in CMA-ES G Shala, A Biedenkapp, N Awad, S Adriaensen, M Lindauer, F Hutter International Conference on Parallel Problem Solving from Nature (PPSN'20 …, 2020	40	2020
Bag of Baselines for Multi-Objective Joint Neural Architecture Search and Hyperparameter Optimization S Izquierdo, J Guerrero-Viu, S Hauns, G Miotto, S Schrodi, A Biedenkapp, ... 8th ICML Workshop on Automated Machine Learning (AutoML), 2021	34*	2021
Learning Heuristic Selection with Dynamic Algorithm Configuration D Speck, A Biedenkapp, F Hutter, R Mattmüller, M Lindauer International Conference on Automated Planning and Scheduling (ICAPS'21) 31 …, 2021	33	2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning T Eimer, A Biedenkapp, F Hutter, M Lindauer International Conference on Machine Learning (ICML'21), 2948-2958, 2021	30	2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C Benjamins, T Eimer, F Schubert, A Biedenkapp, B Rosenhahn, F Hutter, ... arXiv preprint arXiv:2110.02102, 2021	26	2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration T Eimer, A Biedenkapp, M Reimer, S Adriaensen, F Hutter, M Lindauer International Joint Conference on Artificial Intelligence (IJCAI'21) 30 …, 2021	23	2021
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters M Lindauer, M Feurer, K Eggensperger, A Biedenkapp, F Hutter Data Science Meets Optimisation Workshop (DSO@IJCAI'19), 2019	23	2019
DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning R Sass, E Bergman, A Biedenkapp, F Hutter, M Lindauer Workshop on Adaptive Experimental Design and Active Learning in the Real …, 2022	18	2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration A Biedenkapp, N Dang, MS Krejca*, F Hutter, C Doerr Genetic and Evolutionary Computation Conference (GECCO'22), 766-775, 2022	9	2022

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