Lars Kotthoff
Lars Kotthoff
Verified email at uwyo.edu - Homepage
Title
Cited by
Cited by
Year
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
4292016
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
3552017
Algorithm selection for combinatorial search problems: A survey
L Kotthoff
Data Mining and Constraint Programming, 149-190, 2016
2782016
Automated machine learning: methods, systems, challenges
F Hutter, L Kotthoff, J Vanschoren
Springer Nature, 2019
2342019
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
1322016
An evaluation of machine learning in algorithm selection for search problems
L Kotthoff, IP Gent, I Miguel
Ai Communications 25 (3), 257-270, 2012
107*2012
Package ‘FSelector’
P Romanski, L Kotthoff, ML Kotthoff
Repository CRAN, 1-18, 2018
98*2018
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
532014
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
432015
LLAMA: leveraging learning to automatically manage algorithms
L Kotthoff
arXiv preprint arXiv:1306.1031, 2013
372013
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
352010
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
312013
Portfolios of subgraph isomorphism algorithms
L Kotthoff, C McCreesh, C Solnon
International Conference on Learning and Intelligent Optimization, 107-122, 2016
292016
Leveraging TSP solver complementarity through machine learning
P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann
Evolutionary computation 26 (4), 597-620, 2018
202018
The Algorithm Selection Competition Series 2015-17
M Lindauer, JN van Rijn, L Kotthoff
arXiv preprint arXiv:1805.01214, 2018
19*2018
Using the Shapley Value to Analyze Algorithm Portfolios.
A Fréchette, L Kotthoff, TP Michalak, T Rahwan, HH Hoos, ...
AAAI, 3397-3403, 2016
192016
Ensemble classification for constraint solver configuration
L Kotthoff, I Miguel, P Nightingale
International Conference on Principles and Practice of Constraint …, 2010
182010
The ICON challenge on algorithm selection
L Kotthoff, B Hurley, B O'Sullivan
AI Magazine 38 (2), 91-93, 2017
172017
The semigroups of order 10
A Distler, C Jefferson, T Kelsey, L Kotthoff
International Conference on Principles and Practice of Constraint …, 2012
172012
Constraint solvers: An empirical evaluation of design decisions
L Kotthoff
arXiv preprint arXiv:1002.0134, 2010
142010
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Articles 1–20