Kevin Leyton-Brown
Kevin Leyton-Brown
Professor of Computer Science, University of British Columbia; Canada CIFAR AI Chair, Amii
Verified email at - Homepage
TitleCited byYear
Multiagent systems: Algorithmic, game-theoretic, and logical foundations
Y Shoham, K Leyton-Brown
Cambridge University Press, 2009
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
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
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
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
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
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
Essentials of Game Theory: A Concise Multidisciplinary Introduction
K Leyton-Brown, Y Shoham
Synthesis Lectures on Artificial Intelligence and Machine Learning, 1-88, 2008
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
Algorithm runtime prediction: Methods & evaluation
F Hutter, L Xu, HH Hoos, K Leyton-Brown
Artificial Intelligence 206, 79-111, 2014
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
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
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
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
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
An algorithm for multi-unit combinatorial auctions
K Leyton-Brown, Y Shoham, M Tennenholtz
National Conference on Artificial Intelligence (AAAI), 56-61, 2000
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
The magazine archive includes every article published in Communications of the ACM for over the past 50 years.
HB Newman, A Fréchette, K Leyton-Brown
Communications of the ACM 46 (11), 68-77, 2003
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
Hydra: Automatically configuring algorithms for portfolio-based selection
L Xu, H Hoos, K Leyton-Brown
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
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