Matthias Feurer

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2019
Позовавания	7518	6856
h-индекс	15	15
i10-индекс	17	17

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201520162017201820192020202120222023202447 90 143 308 584 867 1192 1411 1577 1213

Публичен достъп

Преглед на всички

12 статии

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Въз основа на изисквания при финансирането

Съавтори

Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyПотвърден имейл адрес: cs.uni-freiburg.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenПотвърден имейл адрес: uni-tuebingen.de
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchПотвърден имейл адрес: ai.uni-hannover.de
Aaron KleinScaDS.AIПотвърден имейл адрес: amazon.com
Manuel BlumUniversity of FreiburgПотвърден имейл адрес: informatik.uni-freiburg.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichПотвърден имейл адрес: stat.uni-muenchen.de
André BiedenkappUniversity of FreiburgПотвърден имейл адрес: cs.uni-freiburg.de
Stefan FalknerBosch Corporate ResearchПотвърден имейл адрес: de.bosch.com
Joaquin VanschorenEindhoven University of TechnologyПотвърден имейл адрес: tue.nl
Jan N. van RijnLeiden UniversityПотвърден имейл адрес: liacs.leidenuniv.nl
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningПотвърден имейл адрес: campus.lmu.de
Neeratyoy MallikPhD student, AutoML FreiburgПотвърден имейл адрес: cs.uni-freiburg.de
Difan DengLeibniz Universität HannoverПотвърден имейл адрес: tnt.uni-hannover.de
Eytan BakshyResearch Director, MetaПотвърден имейл адрес: fb.com
Pieter GijsbersEindhoven University of TechnologyПотвърден имейл адрес: tue.nl
Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairПотвърден имейл адрес: cs.ubc.ca
James BergstraPrincipal Engineer, Ocado TechnologyПотвърден имейл адрес: ocado.com
Jasper SnoekGoogle BrainПотвърден имейл адрес: google.com
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaПотвърден имейл адрес: cs.rwth-aachen.de
Noor AwadPostdoctoral Research Fellow, University of FreiburgПотвърден имейл адрес: cs.uni-freiburg.de

Следене

Matthias Feurer

LMU Munich

Потвърден имейл адрес: stat.uni-muenchen.de - Начална страница

Hyperparameter optimization Meta-learning Bayesian optimization OpenML AutoML


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	2811	2015
Hyperparameter Optimization M Feurer, F Hutter AutoML: Methods, Sytems, Challenges, 3-37, 2019	1644	2019
Initializing bayesian hyperparameter optimization via meta-learning M Feurer, J Springenberg, F Hutter Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	643*	2015
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter Journal of Machine Learning Research 23 (261), 1-61, 2022	484*	2022
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	463	2013
SMAC3: A versatile Bayesian optimization package for hyperparameter optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... Journal of Machine Learning Research 23 (54), 1-9, 2022	390*	2022
Towards Automatically-Tuned Deep Neural Networks H Mendoza, A Klein, M Feurer, JT Springenberg, M Urban, M Burkart, ... Automated Machine Learning, 135-149, 2019	359*	2019
Practical Transfer Learning for Bayesian Optimization M Feurer, B Letham, F Hutter, E Bakshy arXiv:1802.02219v3, 2022	160*	2022
OpenML Benchmarking Suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021	129*	2021
Practical Automated Machine Learning for the AutoML Challenge 2018 M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter ICML 2018 AutoML Workshop, 2018	113	2018
OpenML-Python: an extensible Python API for OpenML M Feurer, JN van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ... Journal of Machine Learning Research 22 (100), 1-5, 2021	94	2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO K Eggensperger, P Müller, N Mallik, M Feurer, R Sass, A Klein, N Awad, ... Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021	90	2021
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	51	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	22	2019
PFNs4BO: In-Context Learning for Bayesian Optimization S Müller, M Feurer, N Hollmann, F Hutter 40th International Conference on Machine Learning, 2023	18	2023
OpenML-CTR23–A curated tabular regression benchmarking suite SF Fischer, M Feurer, B Bischl AutoML Conference 2023 (Workshop), 2023	15	2023
Can fairness be automated? guidelines and opportunities for fairness-aware automl H Weerts, F Pfisterer, M Feurer, K Eggensperger, E Bergman, N Awad, ... Journal of Artificial Intelligence Research 79, 639-677, 2024	13	2024
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives M Feurer, K Eggensperger, E Bergman, F Pfisterer, B Bischl, F Hutter International Symposium on Intelligent Data Analysis, 130-142, 2023	6	2023
Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020	5	2020
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	3	2015

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