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All publications by Christopher Meek
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Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Dengyong Zhou, Qiang Liu, John Platt and Christopher Meek
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Recursive Inversion Models for Permutations
Christopher Meek and Marina Meila
Advances in Neural Information Processing Systems 27, 2014


A Model for Temporal Dependencies in Event Streams
Asela Gunawardana, Christopher Meek and Puyang Xu
Advances in Neural Information Processing Systems 24, 2011


Improving Existing Fault Recovery Policies
Guy Shani and Christopher Meek
Advances in Neural Information Processing Systems 22, 2009


Markov Topic Models
Chong Wang, Bo Thiesson, Christopher Meek and David M. Blei
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler and Christopher Meek
Advances in Neural Information Processing Systems 21, 2008


Using ``epitomes'' to model genetic diversity: Rational design of HIV vaccine cocktails
Nebojsa Jojic, Vladimir Jojic, Christopher Meek, David Heckerman and Brendan J. Frey
Advances in Neural Information Processing Systems 18, 2005


Large-Sample Learning of Bayesian Networks is NP-Hard
David M. Chickering, David Heckerman and Christopher Meek
Journal of Machine Learning Research, 2004


The Learning-Curve Sampling Method Applied to Model-Based Clustering
Christopher Meek, Bo Thiesson and David Heckerman
Journal of Machine Learning Research, 2002


Dependency Networks for Inference, Collaborative Filtering, and Data Visualization
David Heckerman, David M. Chickering, Christopher Meek, Robert Rounthwaite and Carl M. Kadie
Journal of Machine Learning Research, 2000