Matthias Feurer - Google Scholar Citations

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20142015201620172018201914 42 100 143 293 493

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 LindauerUniversity of Freiburg/HannoverVerified email at tnt.uni-hannover.de
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
Jan N. van RijnColumbia UniversityVerified email at liacs.leidenuniv.nl
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Stefan FalknerBosch Center for Artificial IntelligenceVerified email at de.bosch.com
André BiedenkappPhD candidate, University of FreiburgVerified email at cs.uni-freiburg.de
Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Michel LangTU DortmundVerified email at statistik.tu-dortmund.de
Giuseppe CasalicchioLMU MünchenVerified email at campus.lmu.de
Eytan BakshyEmpiricist, FacebookVerified email at fb.com
Rafael Gomes MantovaniUniversity of São PauloVerified email at icmc.usp.br

Matthias Feurer

Machine Learning group, University of Freiburg

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

Hyperparameter optimization Meta-learning Bayesian optimization OpenML AutoML


Title	Cited by	Year
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	542	2015
Initializing bayesian hyperparameter optimization via meta-learning M Feurer, JT Springenberg, F Hutter Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	206*	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	164	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	74	2016
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731, 2017	23	2017
Hyperparameter Optimization M Feurer, F Hutter AutoML: Methods, Sytems, Challenges, 3-37, 2019	21	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	19	2018
Smac v3: Algorithm configuration in python M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ...	19	2017
Scalable Meta-Learning for Bayesian Optimization using Ranking-Weighted Gaussian Process Ensembles M Feurer, B Letham, E Bakshy ICML 2018 AutoML Workshop, 2018	16*	2018
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	7	2019
Towards Further Automation in AutoML M Feurer, F Hutter ICML 2018 AutoML Workshop, 2018	5	2018
Towards Automatically-Tuned Deep Neural Networks H Mendoza, A Klein, M Feurer, JT Springenberg, M Urban, M Burkart, ... Automated Machine Learning, 135-149, 2019	3	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
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		2019
OpenML Benchmarking Suites B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731v2, 2019		2019
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		2019
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		2019

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