Lars Kotthoff
Lars Kotthoff
Verified email at uwyo.edu - Homepage
TitleCited byYear
mlr: Machine Learning in R
B Bischl, M Lang, L Kotthoff, J Schiffner, J Richter, E Studerus, ...
The Journal of Machine Learning Research 17 (1), 5938-5942, 2016
3042016
Algorithm selection for combinatorial search problems: A survey
L Kotthoff
Data Mining and Constraint Programming, 149-190, 2016
2312016
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
L Kotthoff, C Thornton, HH Hoos, F Hutter, K Leyton-Brown
The Journal of Machine Learning Research 18 (1), 826-830, 2017
2062017
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
952016
An evaluation of machine learning in algorithm selection for search problems
L Kotthoff, IP Gent, I Miguel
AI Communications 25 (3), 257-270, 2012
91*2012
Package ‘FSelector’
P Romanski, L Kotthoff, ML Kotthoff
Repository CRAN, 2018
82*2018
Automated Machine Learning-Methods, Systems, Challenges
F Hutter, L Kotthoff, J Vanschoren
Automated Machine Learning, 2019
652019
Proteus: A hierarchical portfolio of solvers and transformations
B Hurley, L Kotthoff, Y Malitsky, B O’Sullivan
International Conference on AI and OR Techniques in Constriant Programming …, 2014
492014
Improving the state of the art in inexact TSP solving using per-instance algorithm selection
L Kotthoff, P Kerschke, H Hoos, H Trautmann
International Conference on Learning and Intelligent Optimization, 202-217, 2015
332015
Learning When to Use Lazy Learning in Constraint Solving.
IP Gent, C Jefferson, L Kotthoff, I Miguel, NCA Moore, P Nightingale, ...
ECAI, 873-878, 2010
332010
LLAMA: leveraging learning to automatically manage algorithms
L Kotthoff
arXiv preprint arXiv:1306.1031, 2013
322013
Automated symmetry breaking and model selection in Conjure
O Akgun, AM Frisch, IP Gent, BS Hussain, C Jefferson, L Kotthoff, I Miguel, ...
International Conference on Principles and Practice of Constraint …, 2013
242013
Portfolios of subgraph isomorphism algorithms
L Kotthoff, C McCreesh, C Solnon
International Conference on Learning and Intelligent Optimization, 107-122, 2016
222016
Ensemble classification for constraint solver configuration
L Kotthoff, I Miguel, P Nightingale
International Conference on Principles and Practice of Constraint …, 2010
182010
The semigroups of order 10
A Distler, C Jefferson, T Kelsey, L Kotthoff
International Conference on Principles and Practice of Constraint …, 2012
152012
Constraint solvers: An empirical evaluation of design decisions
L Kotthoff
arXiv preprint arXiv:1002.0134, 2010
142010
The Algorithm Selection Competition Series 2015-17
M Lindauer, JN van Rijn, L Kotthoff
arXiv preprint arXiv:1805.01214, 2018
13*2018
Using the shapley value to analyze algorithm portfolios
A Fréchette, L Kotthoff, T Michalak, T Rahwan, HH Hoos, K Leyton-Brown
Thirtieth AAAI Conference on Artificial Intelligence, 2016
122016
Reliability of computational experiments on virtualised hardware
L Kotthoff
Journal of Experimental & Theoretical Artificial Intelligence 26 (1), 33-49, 2014
12*2014
An automated approach to generating efficient constraint solvers
D Balasubramaniam, C Jefferson, L Kotthoff, I Miguel, P Nightingale
Proceedings of the 34th International Conference on Software Engineering …, 2012
122012
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Articles 1–20