Kevin E. Leyton-Brown, Ph.D.
Affiliations: | 2003 | Stanford University, Palo Alto, CA |
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"Kevin Leyton-Brown"Parents
Sign in to add mentor| Yoav Shoham | grad student | 2003 | Stanford | |
| (Resource allocation in competitive multiagent systems.) | ||||
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Publications
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| Gao XA, Wright JR, Leyton-Brown K. (2019) Incentivizing evaluation with peer prediction and limited access to ground truth Artificial Intelligence. 275: 618-638 |
| Eggensperger K, Lindauer M, Hoos HH, et al. (2018) Efficient benchmarking of algorithm configurators via model-based surrogates Machine Learning. 107: 15-41 |
| Leyton-Brown K, Milgrom P, Segal I. (2017) Economics and computer science of a radio spectrum reallocation. Proceedings of the National Academy of Sciences of the United States of America |
| Newman N, Fréchette A, Leyton-Brown K. (2017) Deep optimization for spectrum repacking Communications of the Acm. 61: 97-104 |
| Wright JR, Leyton-Brown K. (2017) Predicting human behavior in unrepeated, simultaneous-move games Games and Economic Behavior. 106: 16-37 |
| Thompson DRM, Leyton-Brown K. (2017) Computational analysis of perfect-information position auctions Games and Economic Behavior. 102: 583-623 |
| Hutter F, Lindauer MT, Balint A, et al. (2017) The Configurable SAT Solver Challenge (CSSC) Artificial Intelligence. 243: 1-25 |
| Kotthoff L, Thornton C, Hoos HH, et al. (2017) Auto-WEKA 2.0: automatic model selection and hyperparameter optimization in WEKA Journal of Machine Learning Research. 18: 826-830 |
| Lindauer M, Hoos H, Leyton-Brown K, et al. (2016) Automatic construction of parallel portfolios via algorithm configuration Artificial Intelligence |
| Bischl B, Kerschke P, Kotthoff L, et al. (2016) ASlib: A benchmark library for algorithm selection Artificial Intelligence. 237: 41-58 |