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Marius Lindauer
Marius Lindauer
Sonstige NamenMarius Schneider
Leibniz University Hannover (Germany), Institute of Artificial Intelligence, L3S Research Center
Bestätigte E-Mail-Adresse bei ai.uni-hannover.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Potassco: The Potsdam answer set solving collection
M Gebser, B Kaufmann, R Kaminski, M Ostrowski, T Schaub, M Schneider
AI Communications 24 (2), 107-124, 2011
5822011
Aslib: A benchmark library for algorithm selection
B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ...
Artificial Intelligence 237, 41-58, 2016
2182016
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 (JMLR), 2022
197*2022
AutoFolio: an automatically configured algorithm selector
M Lindauer, HH Hoos, F Hutter, T Schaub
Journal of Artificial Intelligence Research 53, 745-778, 2015
1392015
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
L Zimmer, M Lindauer, F Hutter
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 3079 …, 2021
1312021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.
M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ...
J. Mach. Learn. Res. 23, 54:1-54:9, 2022
1082022
Best practices for scientific research on neural architecture search
M Lindauer, F Hutter
Journal of Machine Learning Research 21 (243), 1-18, 2020
1062020
A portfolio solver for answer set programming: Preliminary report
M Gebser, R Kaminski, B Kaufmann, T Schaub, MT Schneider, S Ziller
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2011
972011
Well-tuned Simple Nets Excel on Tabular Datasets
A Kadra, M Lindauer, F Hutter, J Grabocka
Advances in Neural Information Processing Systems 34, 2021
96*2021
claspfolio 2: Advances in Algorithm Selection for Answer Set Programming
H Hoos, M Lindauer, T Schaub
Theory and Practice of Logic Programming 14 (Special Issue 4-5), 569--585, 2014
942014
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
872018
AClib: A benchmark library for algorithm configuration
F Hutter, M López-Ibánez, C Fawcett, M Lindauer, HH Hoos, ...
International Conference on Learning and Intelligent Optimization, 36-40, 2014
852014
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023
782023
Towards automatically-tuned deep neural networks
H Mendoza, A Klein, M Feurer, JT Springenberg, M Urban, M Burkart, ...
Automated machine learning: Methods, systems, challenges, 135-149, 2019
762019
Potassco User Guide
M Gebser, R Kaminski, B Kaufmann, M Lindauer, M Ostrowski, J Romero, ...
Institute for Informatics, University of Potsdam, second edition edition, 2015
75*2015
The configurable SAT solver challenge (CSSC)
F Hutter, M Lindauer, A Balint, S Bayless, H Hoos, K Leyton-Brown
Artificial Intelligence 243, 1-25, 2017
732017
A case study of algorithm selection for the traveling thief problem
M Wagner, M Lindauer, M Mısır, S Nallaperuma, F Hutter
Journal of Heuristics, 1-26, 2017
692017
Warmstarting of model-based algorithm configuration
M Lindauer, F Hutter
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
652018
Smac v3: Algorithm Configuration in Python
M Lindauer, K Eggensperger, M Feurer, S Falkner, A Biedenkapp, ...
https://github. com/automl/SMAC3, 2017
64*2017
aspeed: Solver scheduling via answer set programming
H HOOS, R KAMINSKI, M LINDAUER, T SCHAUB
Theory and Practice of Logic Programming, 1-26, 2014
58*2014
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