Wei Chen (陈薇) is an associate researcher in Internet Economics and Computational Advertising Group, Microsoft Research Asia. Her current research interests include: machine learning for ranking, game-theoretic machine learning, and mechanism design. Before she joined Microsoft in July 2011, she obtained her Ph. D. in probability and mathematic statistics from Academy of Mathematics and System Science, CAS.

Publications:

Di He, Wei Chen, Liwei Wang, and Tie-Yan Liu, Probablistic Broad Match for Sponsored Search Auctions, EC AdAuction Workshop 2013.

Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Wei Chen, and Tie-Yan Liu, A Theoretical Analysis of NDCG Type Ranking Measures, COLT 2013.

Di He, Wei Chen, Liwei Wang, Tie-Yan Liu, A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search, IJCAI 2013.

Lei Yao, Wei Chen, Tie-Yan Liu. Convergence Analysis for Weighted Joint Strategy Fictitious Play in Generalized Second Price Auction, WINE 2012.

Wei Chen, Tie-Yan Liu, and Zhiming Ma, Two-Layer Generalization Analysis for Ranking Using Rademacher Average, NIPS 2010.

Wei Chen, Tie-Yan Liu, Yanyan Lan, and Zhiming Ma, Ranking Measures and Loss functions in Learning to Rank, NIPS 2009.

 

Email: wche@microsoft.com

Mailing Address: Tower 2, No. 5 Danling Street, Haidian District, Beijing, P. R. China, 100080