Marius Lindauer
Título
Citado por
Citado por
Año
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
5232011
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
1742016
AutoFolio: an automatically configured algorithm selector
M Lindauer, HH Hoos, F Hutter, T Schaub
Journal of Artificial Intelligence Research 53, 745-778, 2015
982015
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
872011
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
722014
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
672014
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
622018
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
602017
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
602017
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
58*2015
Best practices for scientific research on neural architecture search
M Lindauer, F Hutter
Journal of Machine Learning Research 21 (243), 1-18, 2020
552020
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ...
arXiv preprint arXiv:2109.09831, 2021
54*2021
Towards Automatically-Tuned Deep Neural Networks
H Mendoza, A Klein, M Feurer, JT Springenberg, M Urban, M Burkart, ...
Automated Machine Learning, 135-149, 2019
462019
Warmstarting of model-based algorithm configuration
M Lindauer, F Hutter
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
462018
aspeed: Solver scheduling via answer set programming
H HOOS, R KAMINSKI, M LINDAUER, T SCHAUB
Theory and Practice of Logic Programming, 1-26, 2014
46*2014
Efficient benchmarking of algorithm configurators via model-based surrogates
K Eggensperger, M Lindauer, HH Hoos, F Hutter, K Leyton-Brown
Machine Learning, 1-27, 2018
432018
Centurio, a general game player: Parallel, Java-and ASP-based
M Möller, M Schneider, M Wegner, T Schaub
KI-Künstliche Intelligenz 25 (1), 17-24, 2011
382011
Auto-Sklearn 2.0: The Next Generation
M Feurer, K Eggensperger, S Falkner, M Lindauer, F Hutter
arXiv preprint arXiv:2007.04074, 2020
352020
From Sequential Algorithm Selection to Parallel Portfolio Selection
M Lindauer, H Hoos, F Hutter
Proceedings of international Conference on Learning and Intelligent …, 2015
332015
The algorithm selection competitions 2015 and 2017
M Lindauer, JN van Rijn, L Kotthoff
Artificial Intelligence 272, 86-100, 2019
31*2019
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Artículos 1–20