Chris Meek
PRINCIPAL RESEARCHER
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I manage the Machine Learning and Applied Statistics group in Microsoft Research.
Research Activities
I am interested in statistics and machine learning. My work has touched a large number of areas including the analysis of sequence data (e.g., web logs), probabilistic models for relational data, auction design, scalable algorithms, computational biology, data mining, collaborative filtering, recommendation systems, text classification, bioinformatics, clustering and mixture models. I have a long standing interest in model selection, learning and using graphical models, and learning causal relationships from non-randomized studies.
I am an associate editor for the Journal of Artificial Intelligence Research and for Statistics and Computing. I was the program chair for Uncertainty and Artificial Intelligence (UAI) in 2003 and the general chair for UAI in 2004.
Contact Info
| E-mail:meek@microsoft.com |
| FAX: 425-936-7329 |
| Mail: One Microsoft Way, 99/3118, Redmond WA 98052-6399, USA |
Publications
- Asela Gunawardana and Christopher Meek, A Unified Approach to Building Hybrid Recommmender Systems, in ACM International Conference on Recommender Systems, Association for Computing Machinery, Inc., October 2009
- Darko Kirovski and Christopher A. Meek, Tunneled TLS for Multi-Factor Authentication, no. MSR-TR-2009-50, 23 April 2009
- Chong Wang, Bo Thiesson, Christopher Meek, and David Blei, Markov Topic Models, in D. van Dyk and M. Welling (Eds.), Proceedings of The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, JMLR: W&CP 5, Journal of Machine Learning Research, April 2009
- Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, and Gina Danielle Venolia, Searching large indexes on tiny devices: Optimizing binary search with character pinning, in Proc. IUI 2009, Association for Computing Machinery, Inc., February 2009
- Alnur Ali and Christopher Meek, Predictive Models of Form Filling, no. MSR-TR-2009-1, January 2009
- Dan Geiger, Christopher Meek, and Ydo Wexler, Speeding up HMM algorithms for genetic linkage analysis, in Bioinformatics, Oxford University Press, 2009
- Asela Gunawardana and Christopher Meek, Tied Boltzmann Machines for Cold Start Recommendations, in ACM International Conference on Recommender Systems, Association for Computing Machinery, Inc., October 2008
- Ming-Wei Chang, Wen-tau Yih, and Christopher Meek, Partitioned Logistic Regression for Spam Filtering , in Proceedings of The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 26 August 2008
- Wen-tau Yih and Christopher Meek, Consistent Phrase Relevance Measures , in Proceedings of The 2nd Annual International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD-08 Workshop), 24 August 2008
- Asela Gunawardana, Christopher Meek, and Jody Biggs, A Quality-Based Auction for Search Ad Markets with Aggregators, in ACM EC Workshop on Ad Auctions, Association for Computing Machinery, Inc., June 2008
- Asela Gunawardana and Christopher Meek, Aggregators and Contextual Effects in Search Ad Markets, in WWW Workshop on Targeting and Ranking for Online Advertising, Association for Computing Machinery, Inc., April 2008
- Ydo Wexler and Christopher Meek, Inference for Multiplicative Models, in Proceedings of Uncertainty in Artificial Intelligence, 2008
- Guy Shani, David Maxwell Chickering, and Christopher Meek, Mining Recommendations from the Web, in ACM International Conference on Recommender Systems, 2008
- Ece Kumar, Eric Horvitz, and Chris Meek, Mobile Opportunistic Commerce: Mechanisms, Architecture, and Application, in AAMAS, 2008
- Chang, Yih, and Christopher Meek, Partitioned Logistic Regression for Spam Filtering, in KDD, 2008
- Ydo Wexler and Christopher Meek, MAS: a multiplicative approximation scheme for probabilistic inference, in NIPS, 2008
- Wen-tau Yih and Christopher Meek, Improving Similarity Measures for Short Segments of Text, in Proceedings of AAAI 2007, American Association for Artificial Intelligence , 25 July 2007
- Donald Metzler, Susan T. Dumais, and Christopher Meek, Similarity Measures for Short Segments of Text, in European Conference on Information Retrieval, 2007
- Hila Becker, Christopher Meek, and David Maxwell Chickering, Modeling Contextual Factors of Click Rates, in AAAI, American Association for Artificial Intelligence , 2007
- Ajit P. Singh, Asela Gunawardana, Chris Meek, and Arun C. Sudendran, Recommendations Using Absorbing Random Walks, in North East Student Colloquium on Artificial Intelligence, 2007
- David Heckerman, Christopher Meek, and Daphne Koller, Probabilistic Entity-Relationship Models, PRMs and Plate Models, in Introduction to Statistical Relational Learning, pp. 201-239, MIT Press, 2007
- Tim Paek, Yun-Cheng Ju, and Christopher Meek, People Watcher: A Game for Eliciting Human-Transcribed Data for Automated Directory Assistance, International Speech Communication Association, 2007
- Michail Vlachos, Philip S. Yu, Vittorio Castelli, and Christopher Meek, Structural Periodic Measures for Time-Series Data, in Data Mining Knowledge Discovery, vol. 12, no. 1, pp. 1-28, 2006
- Dan Geiger, Christopher Meek, and Bernd Sturmfels, On the Toric Algebra of Graphical Models, in The Annals of Statistics, vol. 34, no. 3, pp. 1463-1492, 2006
- Bo Thiesson and Christopher Meek, Efficient gradient computation for conditional Gaussian models, in Proceedings of Tenth International Workshop on Artificial Intelligence and Statistics, The Society for Artificial Intelligence and Statistics, January 2005
