Jennifer Wortman Vaughan, Ph.D.
Affiliations: | Computer Science | University of California, Los Angeles, Los Angeles, CA | |
| 2009 | University of Pennsylvania, Philadelphia, PA, United States |
Area:
machine learning, learning theory, algorithmic economics, and social computingGoogle:
"Jennifer Vaughan"Parents
Sign in to add mentor| Michael Kearns | grad student | 2009 | Penn | |
| (Learning from collective preferences, behavior, and beliefs.) | ||||
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Publications
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| Hu L, Immorlica N, Vaughan JW. (2019) The Disparate Effects of Strategic Manipulation Arxiv: Learning. 259-268 |
| Ho CJ, Slivkins A, Vaughan JW. (2016) Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems Journal of Artificial Intelligence Research. 55: 317-359 |
| Chen Y, Ghosh A, Kearns M, et al. (2016) Mathematical foundations for social computing Communications of the Acm. 59: 102-108 |
| Ho C, Slivkins A, Suri S, et al. (2016) Incentivizing high quality crowdwork Acm Sigecom Exchanges. 14: 26-34 |
| Slivkins A, Vaughan JW. (2014) Online decision making in crowdsourcing markets: theoretical challenges Sigecom Exchanges. 12: 4-23 |
| Mason W, Vaughan JW, Wallach H. (2014) Computational social science and social computing Machine Learning. 95: 257-260 |
| Ho CJ, Zhang Y, Vaughan JW, et al. (2012) Towards social norm design for crowdsourcing markets Aaai Workshop - Technical Report. 94-100 |
| Ho CJ, Vaughan JW. (2012) Online task assignment in crowdsourcing markets Proceedings of the National Conference On Artificial Intelligence. 1: 45-51 |
| Chen Y, Vaughan JW. (2010) Connections between markets and learning Sigecom Exchanges. 9: 6 |
| Ganchev K, Nevmyvaka Y, Kearns M, et al. (2010) Censored exploration and the dark pool problem Communications of the Acm. 53: 99-107 |