متابعة
Stefan Falkner
Stefan Falkner
Bosch Corporate Research
بريد إلكتروني تم التحقق منه على de.bosch.com
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
BOHB: Robust and efficient hyperparameter optimization at scale‏
S Falkner, A Klein, F Hutter‏
International Conference on Machine Learning, 1437-1446, 2018‏
14112018
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
7582017
Bayesian optimization with robust Bayesian neural networks‏
JT Springenberg, A Klein, S Falkner, F Hutter‏
Advances in neural information processing systems 29, 2016‏
5712016
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning‏
M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter‏
374*
Learning curve prediction with Bayesian neural networks‏
A Klein, S Falkner, JT Springenberg, F Hutter‏
International conference on learning representations, 2017‏
2892017
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
2382018
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
1742020
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 12, 2018‏
1212018
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
1122017
Learning to Design RNA‏
F Runge, D Stoll, S Falkner, F Hutter‏
arXiv preprint arXiv:1812.11951, 2018‏
982018
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
952019
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
852017
Smac v3: Algorithm configuration in python‏
M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ...‏
URL https://github. com/automl/SMAC3, 2017‏
642017
Weak limit of the three-state quantum walk on the line‏
S Falkner, S Boettcher‏
Physical Review A 90 (1), 012307, 2014‏
532014
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
462019
Combining hyperband and bayesian optimization‏
S Falkner, A Klein, F Hutter‏
Proceedings of the 31st Conference on Neural Information Processing Systems …, 2017‏
362017
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
352015
One-dimensional coinless quantum walks‏
R Portugal, S Boettcher, S Falkner‏
Physical Review A 91 (5), 052319, 2015‏
322015
Practical Hyperparameter Optimization for Deep Learning‏
S Falkner, A Klein, F Hutter‏
302018
Relation between random walks and quantum walks‏
S Boettcher, S Falkner, R Portugal‏
Physical Review A 91 (5), 052330, 2015‏
272015
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مقالات 1–20