| 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 | 221 | 2017 |
| BOHB: Robust and Efficient Hyperparameter Optimization at Scale S Falkner, A Klein, F Hutter arXiv preprint arXiv:1807.01774, 2018 | 186 | 2018 |
| Bayesian Optimization with Robust Bayesian Neural Networks JT Springenberg, A Klein, S Falkner, F Hutter Advances in Neural Information Processing Systems, 4134-4142, 2016 | 174 | 2016 |
| Learning curve prediction with Bayesian neural networks A Klein, S Falkner, JT Springenberg, F Hutter | 87 | 2016 |
| 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 | 47 | 2018 |
| Weak limit of the three-state quantum walk on the line S Falkner, S Boettcher Physical Review A 90 (1), 012307, 2014 | 37 | 2014 |
| 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 | 33 | 2018 |
| Smac v3: Algorithm configuration in python M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ... URL https://github. com/automl/SMAC3, 2017 | 27 | 2017 |
| Robo: A flexible and robust bayesian optimization framework in python A Klein, S Falkner, N Mansur, F Hutter NIPS 2017 Bayesian Optimization Workshop, 2017 | 26 | 2017 |
| One-dimensional coinless quantum walks R Portugal, S Boettcher, S Falkner Physical Review A 91 (5), 052319, 2015 | 22 | 2015 |
| Relation between random walks and quantum walks S Boettcher, S Falkner, R Portugal Physical Review A 91 (5), 052330, 2015 | 21 | 2015 |
| 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 | 21 | 2015 |
| Combining hyperband and bayesian optimization S Falkner, A Klein, F Hutter Proceedings of the 31st Conference on Neural Information Processing Systems …, 2017 | 15 | 2017 |
| SpySMAC: automated configuration and performance analysis of SAT solvers S Falkner, M Lindauer, F Hutter International Conference on Theory and Applications of Satisfiability …, 2015 | 15 | 2015 |
| 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 | 14 | 2017 |
| Renormalization and scaling in quantum walks S Boettcher, S Falkner, R Portugal Physical Review A 90 (3), 032324, 2014 | 13 | 2014 |
| Renormalization group for quantum walks S Boettcher, S Falkner, R Portugal Journal of Physics: Conference Series 473 (1), 012018, 2013 | 13 | 2013 |
| Learning to Design RNA F Runge, D Stoll, S Falkner, F Hutter arXiv preprint arXiv:1812.11951, 2018 | 8 | 2018 |
| Hyperparameter optimization A Biedenkapp, K Eggensperger, T Elsken, S Falkner, M Feurer, ... Artificial Intelligence 1, 35, 2018 | 6 | 2018 |
| Finite-size corrections for ground states of Edwards-Anderson spin glasses S Boettcher, S Falkner EPL (Europhysics Letters) 98 (4), 47005, 2012 | 6 | 2012 |
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
