Sébastien Lahaie
RESEARCHER
.
Sébastien Lahaie received his PhD in Computer Science from Harvard University in 2007 and was previously a senior research scientist at Yahoo. His research focuses on computational aspects of marketplace design, including sponsored search and display advertising. He is interested in designing market algorithms that scale well and properly anticipate user behavior. Other interests include preference modeling and elicitation, reputation systems, and prediction markets. He serves as a co-editor for Economic Inquiry and was previously a program chair for AMMA. He regularly serves on the program committee of conferences such as EC, IJCAI, WWW, and AAMAS.
Publications
- Sebastien Lahaie, Miro Dudik, David Rothschild, and David Pennock, A Combinatorial Prediction Market for the U.S. Elections, ACM Conference on Electronic Commerce, June 2013
- Miroslav Dudik, Sebastien Lahaie, and David Pennock, A Tractable Combinatorial Market Maker Using Constraint Generation, in ACM Conference on Electronic Commerce, 2012
- Quang Duong and Sebastien Lahaie, Discrete Choice Models of Bidder Behavior in Sponsored Search, in Workshop on Internet and Network Economics (WINE), 2011
- Sebastien Lahaie and Preston McAfee, Efficient Ranking in Sponsored Search, in Workshop on Internet and Network Economics (WINE), 2011
- Sebastien Lahaie, A Kernel-Based Iterative Combinatorial Auction, in National Conference on Artificial Intelligence (AAAI), 2011
- Sharad Goel, Jake Hofman, Sebastien Lahaie, David Pennock, and Duncan Watts, Predicting Consumer Behavior with Web Search, in Proceedings of the National Academy of Sciences (PNAS), 2010
- Sebastien Lahaie, Stability and Incentive Compatibility in a Kernel-Based Combinatorial Auction, in National Conference on Artificial Intelligence (AAAI), 2010
- Sebastien Lahaie, Kernel Methods for Revealed Preference Analysis, in European Conference on Artificial Intelligence (ECAI), 2010
- Sharad Goel, Sebastien Lahaie, and Sergei Vassilvitskii, Contract Auctions for Sponsored Search, in Workshop on Internet and Network Economics (WINE), 2009
