Matthias Feurer - Google Scholar

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	All	Since 2015
Citations	1768	1752
h-index	11	11
i10-index	12	12

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201420152016201720182019202015 44 92 153 304 606 545

Co-authors

Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Katharina EggenspergerPhD Student, Machine Learning Lab, University of FreiburgVerified email at informatik.uni-freiburg.de
Jost Tobias SpringenbergAlbert-Ludwigs-Universität FreiburgVerified email at informatik.uni-freiburg.de
Aaron KleinAmazon Research BerlinVerified email at cs.uni-freiburg.de
Manuel BlumUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Stefan FalknerBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Jan N. van RijnLeiden UniversityVerified email at liacs.leidenuniv.nl
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Kevin Leyton-BrownProfessor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, AmiiVerified email at cs.ubc.ca
James BergstraVerified email at uwaterloo.ca
Jasper SnoekGoogle BrainVerified email at google.com
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
André BiedenkappPhD candidate, University of FreiburgVerified email at cs.uni-freiburg.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Michel LangTU DortmundVerified email at statistik.tu-dortmund.de
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningVerified email at campus.lmu.de
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Eytan BakshyEmpiricist, FacebookVerified email at fb.com
Andreas Christian MuellerColumbia UniversityVerified email at columbia.edu

Matthias Feurer

Machine Learning group, University of Freiburg

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

Hyperparameter optimization Meta-learning Bayesian optimization OpenML AutoML


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Efficient and Robust Automated Machine Learning M Feurer, A Klein, K Eggensperger, J Springenberg, M Blum, F Hutter Advances in Neural Information Processing Systems, 2962-2970, 2015	832	2015
Initializing bayesian hyperparameter optimization via meta-learning M Feurer, JT Springenberg, F Hutter Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	280*	2015
Towards an empirical foundation for assessing bayesian optimization of hyperparameters K Eggensperger, M Feurer, F Hutter, J Bergstra, J Snoek, H Hoos, ... NIPS workshop on Bayesian Optimization in Theory and Practice, 1-5, 2013	219	2013
Towards Automatically-Tuned Neural Networks H Mendoza, A Klein, M Feurer, JT Springenberg, F Hutter Proceedings of the 2016 ICML Workshop on Automatic Machine Learning 64, 58-65, 2016	123	2016
Hyperparameter Optimization M Feurer, F Hutter AutoML: Methods, Sytems, Challenges, 3-37, 2019	103	2019
Auto-sklearn: Efficient and Robust Automated Machine Learning M Feurer, A Klein, K Eggensperger, JT Springenberg, M Blum, F Hutter AutoML: Methods, Sytems, Challenges, 121-140, 2019	43	2019
OpenML Benchmarking Suites B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731v2, 2019	35*	2019
Practical Automated Machine Learning for the AutoML Challenge 2018 M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter ICML 2018 AutoML Workshop, 2018	34	2018
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731, 2017	33	2017
Scalable Meta-Learning for Bayesian Optimization using Ranking-Weighted Gaussian Process Ensembles M Feurer, B Letham, E Bakshy ICML 2018 AutoML Workshop, 2018	31*	2018
Smac v3: Algorithm configuration in python M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ... URL https://github. com/automl/SMAC3, 2017	30	2017
Towards Automatically-Tuned Deep Neural Networks H Mendoza, A Klein, M Feurer, JT Springenberg, M Urban, M Burkart, ... Automated Machine Learning, 135-149, 2019	12	2019
Towards Further Automation in AutoML M Feurer, F Hutter ICML 2018 AutoML Workshop, 2018	10	2018
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	7	2019
OpenML-Python: an extensible Python API for OpenML M Feurer, JN van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ... arXiv preprint arXiv:1911.02490, 2019	4	2019
Auto-Sklearn 2.0: The Next Generation M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter arXiv preprint arXiv:2007.04074, 2020	2	2020
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters M Lindauer, M Feurer, K Eggensperger, A Biedenkapp, F Hutter arXiv preprint arXiv:1908.06674, 2019	2	2019
OpenML: a networked science platform for machine learning J Vanschoren, JN van Rijn, B Bischl, G Casalicchio, M Lang, M Feurer ICML 2015 MLOSS Workshop 3, 2015	1	2015

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