Kevin Leyton-Brown
Kevin Leyton-Brown
Professor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, Amii
Verified email at cs.ubc.ca - Homepage
TitleCited byYear
Multiagent systems: Algorithmic, game-theoretic, and logical foundations
Y Shoham, K Leyton-Brown
Cambridge University Press, 2009
23672009
Sequential model-based optimization for general algorithm configuration
F Hutter, HH Hoos, K Leyton-Brown
Proceedings of the 5th International Conference on Learning and Intelligent …, 2011
11352011
Incentives for sharing in peer-to-peer networks
P Golle, K Leyton-Brown, I Mironov, M Lillibridge
ACM Conference on Electronic Commerce, 75-87, 2001
7862001
ParamILS: an automatic algorithm configuration framework
F Hutter, HH Hoos, K Leyton-Brown, T Stützle
Journal of Artificial Intelligence Research (JAIR) 36 (1), 267-306, 2009
7662009
SATzilla: Portfolio-based Algorithm Selection for SAT
L Xu, F Hutter, HH Hoos, K Leyton-Brown
Journal of Artificial Intelligence Research (JAIR) 32, 565-606, 2008
7382008
Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms
C Thornton, F Hutter, HH Hoos, K Leyton-Brown
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
7172013
Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches
Y Fujishima, K Leyton-Brown, Y Shoham
International Joint Conference on Artificial Intelligence (IJCAI) 99, 548-553, 1999
6331999
Essentials of Game Theory: A Concise Multidisciplinary Introduction
K Leyton-Brown, Y Shoham
Synthesis Lectures on Artificial Intelligence and Machine Learning, 1-88, 2008
4742008
Towards a universal test suite for combinatorial auction algorithms
K Leyton-Brown, M Pearson, Y Shoham
Proceedings of the 2nd ACM conference on Electronic Commerce, 66-76, 2000
4302000
Algorithm runtime prediction: Methods & evaluation
F Hutter, L Xu, HH Hoos, K Leyton-Brown
Artificial Intelligence 206, 79-111, 2014
2822014
Learning the empirical hardness of optimization problems: The case of combinatorial auctions
K Leyton-Brown, E Nudelman, Y Shoham
International Conference on Principles and Practice of Constraint …, 2002
2042002
Understanding random SAT: Beyond the clauses-to-variables ratio
E Nudelman, K Leyton-Brown, H Hoos, A Devkar, Y Shoham
Principles and Practice of Constraint Programming, 438-452, 2004
1972004
Run the GAMUT: A comprehensive approach to evaluating game-theoretic algorithms
E Nudelman, J Wortman, Y Shoham, K Leyton-Brown
Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004
1922004
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
1912017
Performance prediction and automated tuning of randomized and parametric algorithms
F Hutter, Y Hamadi, HH Hoos, K Leyton-Brown
Principles and Practice of Constraint Programming, 213-228, 2006
1832006
An algorithm for multi-unit combinatorial auctions
K Leyton-Brown, Y Shoham, M Tennenholtz
National Conference on Artificial Intelligence (AAAI), 56-61, 2000
1832000
Deep optimization for spectrum repacking
N Newman, A Fréchette, K Leyton-Brown
Communications of the ACM 61 (1), 97-104, 2017
171*2017
A portfolio approach to algorithm selection
K Leyton-Brown, E Nudelman, G Andrew, J McFadden, Y Shoham
International Joint Conference on Artificial Intelligence (IJCAI) 1543, 2003, 2003
1692003
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, 2013
1612013
Hydra: Automatically configuring algorithms for portfolio-based selection
L Xu, H Hoos, K Leyton-Brown
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
1482010
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