| Year |
Citation |
Score |
| 2019 |
Gao XA, Wright JR, Leyton-Brown K. Incentivizing evaluation with peer prediction and limited access to ground truth Artificial Intelligence. 275: 618-638. DOI: 10.1016/J.Artint.2019.03.004 |
0.375 |
|
| 2018 |
Eggensperger K, Lindauer M, Hoos HH, Hutter F, Leyton-Brown K. Efficient benchmarking of algorithm configurators via model-based surrogates Machine Learning. 107: 15-41. DOI: 10.1007/S10994-017-5683-Z |
0.448 |
|
| 2017 |
Leyton-Brown K, Milgrom P, Segal I. Economics and computer science of a radio spectrum reallocation. Proceedings of the National Academy of Sciences of the United States of America. PMID 28652335 DOI: 10.1073/Pnas.1701997114 |
0.335 |
|
| 2017 |
Newman N, Fréchette A, Leyton-Brown K. Deep optimization for spectrum repacking Communications of the Acm. 61: 97-104. DOI: 10.1145/3107548 |
0.438 |
|
| 2017 |
Wright JR, Leyton-Brown K. Predicting human behavior in unrepeated, simultaneous-move games Games and Economic Behavior. 106: 16-37. DOI: 10.1016/J.Geb.2017.09.009 |
0.33 |
|
| 2017 |
Thompson DRM, Leyton-Brown K. Computational analysis of perfect-information position auctions Games and Economic Behavior. 102: 583-623. DOI: 10.1016/J.Geb.2017.02.009 |
0.385 |
|
| 2017 |
Hutter F, Lindauer MT, Balint A, Bayless S, Hoos HH, Leyton-Brown K. The Configurable SAT Solver Challenge (CSSC) Artificial Intelligence. 243: 1-25. DOI: 10.1016/J.Artint.2016.09.006 |
0.36 |
|
| 2017 |
Kotthoff L, Thornton C, Hoos HH, Hutter F, Leyton-Brown K. Auto-WEKA 2.0: automatic model selection and hyperparameter optimization in WEKA Journal of Machine Learning Research. 18: 826-830. DOI: 10.1007/978-3-030-05318-5_4 |
0.387 |
|
| 2016 |
Lindauer M, Hoos H, Leyton-Brown K, Schaub T. Automatic construction of parallel portfolios via algorithm configuration Artificial Intelligence. DOI: 10.1016/J.Artint.2016.05.004 |
0.404 |
|
| 2016 |
Bischl B, Kerschke P, Kotthoff L, Lindauer M, Malitsky Y, Fréchette A, Hoos H, Hutter F, Leyton-Brown K, Tierney K, Vanschoren J. ASlib: A benchmark library for algorithm selection Artificial Intelligence. 237: 41-58. DOI: 10.1016/J.Artint.2016.04.003 |
0.441 |
|
| 2016 |
KhudaBukhsh AR, Xu L, Hoos HH, Leyton-Brown K. SATenstein: Automatically building local search SAT solvers from components Artificial Intelligence. 232: 20-42. DOI: 10.1016/J.Artint.2015.11.002 |
0.45 |
|
| 2015 |
Jiang AX, Leyton-Brown K. Polynomial-time computation of exact correlated equilibrium in compact games Games and Economic Behavior. 91: 347-359. DOI: 10.1016/J.Geb.2013.02.002 |
0.429 |
|
| 2014 |
Hutter F, Xu L, Hoos HH, Leyton-Brown K. Algorithm runtime prediction: Methods & evaluation Artificial Intelligence. 206: 79-111. DOI: 10.1016/J.Artint.2013.10.003 |
0.46 |
|
| 2012 |
Yin Z, Jiang AX, Tambe M, Kiekintveld C, Leyton-Brown K, Sandholm T, Sullivan JP. TRUSTS: Scheduling randomized patrols for fare inspection in transit systems using game theory Ai Magazine. 33: 59-72. DOI: 10.1609/Aimag.V33I4.2432 |
0.417 |
|
| 2011 |
Wright JR, Jiang AX, Leyton-Brown K. Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in n -player games Sigecom Exchanges. 10: 9-12. DOI: 10.1145/1978721.1978724 |
0.436 |
|
| 2011 |
Jiang AX, Leyton-Brown K. Polynomial computation of exact correlated equilibrium in compact games Sigecom Exchanges. 10: 6-8. DOI: 10.1145/1978721.1978723 |
0.44 |
|
| 2011 |
Jiang AX, Leyton-Brown K, Bhat NAR. Action-Graph Games Games and Economic Behavior. 71: 141-173. DOI: 10.1016/J.Geb.2010.10.012 |
0.413 |
|
| 2011 |
Rastegari B, Condon A, Leyton-Brown K. Revenue monotonicity in deterministic, dominant-strategy combinatorial auctions Artificial Intelligence. 175: 441-456. DOI: 10.1016/J.Artint.2010.08.005 |
0.357 |
|
| 2010 |
Elkind E, Leyton-Brown K. Algorithmic Game Theory and Artificial Intelligence Ai Magazine. 31: 9-12. DOI: 10.1609/Aimag.V31I4.2310 |
0.417 |
|
| 2010 |
Hutter F, Hoos HH, Leyton-Brown K. Tradeoffs in the empirical evaluation of competing algorithm designs Annals of Mathematics and Artificial Intelligence. 60: 65-89. DOI: 10.1007/S10472-010-9191-0 |
0.425 |
|
| 2009 |
Hutter F, Hoos HH, Leyton-Brown K, Stützle T. ParamILS: an automatic algorithm configuration framework Journal of Artificial Intelligence Research. 36: 267-306. DOI: 10.1613/Jair.2808 |
0.432 |
|
| 2009 |
Leyton-Brown K, Nudelman E, Shoham Y. Empirical hardness models: Methodology and a case study on combinatorial auctions Journal of the Acm. 56. DOI: 10.1145/1538902.1538906 |
0.641 |
|
| 2008 |
Leyton-Brown K, Shoham Y. Essentials of Game Theory: A Concise, Multidisciplinary Introduction Synthesis Lectures On Artificial Intelligence and Machine Learning. 2: 1-88. DOI: 10.2200/S00108Ed1V01Y200802Aim003 |
0.524 |
|
| 2008 |
Xu L, Hutter F, Hoos HH, Leyton-Brown K. SATzilla: portfolio-based algorithm selection for SAT Journal of Artificial Intelligence Research. 32: 565-606. DOI: 10.1613/Jair.2490 |
0.458 |
|
| 2008 |
Leyton-Brown K, Shoham Y. Book announcements: multiagent systems and essentials of game theory Sigecom Exchanges. 7: 4. DOI: 10.1145/1486877.1486881 |
0.562 |
|
| 2007 |
Rastegari B, Condon A, Leyton-Brown K. Revenue monotonicity in combinatorial auctions Sigecom Exchanges. 7: 45-47. DOI: 10.1145/1345037.1345048 |
0.303 |
|
| 2007 |
Jiang AX, Leyton-Brown K. Bidding agents for online auctions with hidden bids Machine Learning. 67: 117-143. DOI: 10.1007/S10994-006-0477-8 |
0.423 |
|
| 2003 |
Leyton-Brown K, McGrew B, Porter R. Conference report: the fourth ACM conference on electronic commerce Sigecom Exchanges. 4: 41-46. DOI: 10.1145/1120709.1120716 |
0.508 |
|
| 2003 |
Leyton-Brown K, Porter R, Prabhakar B, Shoham Y, Venkataraman S. Incentive mechanisms for smoothing out a focused demand for network resources Computer Communications. 26: 237-250. DOI: 10.1016/S0140-3664(02)00139-1 |
0.595 |
|
| 2001 |
Golle P, Leyton-Brown K, Mironov I, Lillibridge M. Incentives for Sharing in Peer-to-Peer Networks Lecture Notes in Computer Science. 75-87. DOI: 10.1007/3-540-45598-1_9 |
0.377 |
|
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