Stefan Falkner

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Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Aaron KleinScaDS.AIVerified email at amazon.com
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchVerified email at ai.uni-hannover.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenVerified email at uni-tuebingen.de
Matthias FeurerLMU MunichVerified email at stat.uni-muenchen.de
Philipp HennigUniversity of TübingenVerified email at uni-tuebingen.de
Simon BartelsPostdoc in Statistics and Optimization group, Paul Sabatier University ToulouseVerified email at univ-tlse3.fr
Stefan BoettcherPhysics Department, Emory UniversityVerified email at emory.edu
Renato PortugalLNCC - National Laboratory of Scientific ComputingVerified email at lncc.br
Arber ZelaPhD student, University of FreiburgVerified email at cs.uni-freiburg.de
Christian DanielBosch Center for Artificial IntelligenceVerified email at ias.tu-darmstadt.de
Muhammad Numair MansurAmazon Web ServicesVerified email at amazon.com
Frederic RungeUniversity of FreiburgVerified email at cs.uni-freiburg.de
Margret KeuperUniversity of MannheimVerified email at uni-mannheim.de
Michael VolppKarlsruhe Institute of Technology, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Lukas P. FröhlichPhD Student, ETH ZurichVerified email at ethz.ch
Andreas DoerrSenior Applied Scientist @ Amazon AWS, ex. Bosch Center for AI, MPI for Intelligent SystemsVerified email at tuebingen.mpg.de
Kirsten FischerJuelich Research CenterVerified email at fz-juelich.de
Kathrin SkubchBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Matilde GargianiETH ZurichVerified email at control.ee.ethz.ch

Stefan Falkner

Bosch Corporate Research

Verified email at de.bosch.com

statistical physics quantum walks optimization spin glasses


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BOHB: Robust and efficient hyperparameter optimization at scale S Falkner, A Klein, F Hutter International Conference on Machine Learning, 1437-1446, 2018	1291	2018
Fast bayesian optimization of machine learning hyperparameters on large datasets A Klein, S Falkner, S Bartels, P Hennig, F Hutter Artificial Intelligence and Statistics, 528-536, 2017	736	2017
Bayesian optimization with robust Bayesian neural networks JT Springenberg, A Klein, S Falkner, F Hutter Advances in neural information processing systems 29, 2016	543	2016
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter	306*
Learning curve prediction with Bayesian neural networks A Klein, S Falkner, JT Springenberg, F Hutter International conference on learning representations, 2022	267	2022
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search A Zela, A Klein, S Falkner, F Hutter arXiv preprint arXiv:1807.06906, 2018	237	2018
Auto-sklearn 2.0: The next generation M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter arXiv preprint arXiv:2007.04074 24, 8, 2020	164	2020
Practical automated machine learning for the automl challenge 2018 M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter International Workshop on Automatic Machine Learning at ICML, 1189-1232, 2018	113	2018
Robo: A flexible and robust bayesian optimization framework in python A Klein, S Falkner, N Mansur, F Hutter NIPS 2017 Bayesian optimization workshop, 4-9, 2017	105	2017
Learning to Design RNA F Runge, D Stoll, S Falkner, F Hutter arXiv preprint arXiv:1812.11951, 2018	87	2018
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization M Volpp, LP Fröhlich, K Fischer, A Doerr, S Falkner, F Hutter, C Daniel arXiv preprint arXiv:1904.02642, 2019	82	2019
Fast Bayesian hyperparameter optimization on large datasets A Klein, S Falkner, S Bartels, P Hennig, F Hutter Electronic Journal of Statistics 11 (2), 4945-4968, 2017	79	2017
Smac v3: Algorithm configuration in python M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ... URL https://github. com/automl/SMAC3, 2017	64	2017
Weak limit of the three-state quantum walk on the line S Falkner, S Boettcher Physical Review A 90 (1), 012307, 2014	52	2014
Optimizing neural networks for patent classification L Abdelgawad, P Kluegl, E Genc, S Falkner, F Hutter Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019	42	2019
Combining hyperband and bayesian optimization S Falkner, A Klein, F Hutter Proceedings of the 31st Conference on Neural Information Processing Systems …, 2017	39	2017
Towards efficient Bayesian Optimization for Big Data A Klein, S Bartels, S Falkner, P Hennig, F Hutter NIPS 2015 workshop on Bayesian Optimization (BayesOpt 2015), 2015	33	2015
One-dimensional coinless quantum walks R Portugal, S Boettcher, S Falkner Physical Review A 91 (5), 052319, 2015	32	2015
Relation between random walks and quantum walks S Boettcher, S Falkner, R Portugal Physical Review A 91 (5), 052330, 2015	26	2015
Practical Hyperparameter Optimization for Deep Learning S Falkner, A Klein, F Hutter	25	2018

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