John Lafferty

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
 2011- University of Chicago, Chicago, IL 
Area:
statistical machine learning
Website:
https://galton.uchicago.edu/~lafferty/
Google:
"John Lafferty"
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Children

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ChenXiang Zhai grad student Yale (Computer Science Tree)
Peter Venable grad student 2003 Carnegie Mellon
Guy Lebanon grad student 2005 Carnegie Mellon
Xiaojin Zhu grad student 2005 Carnegie Mellon
Paul N. Bennett grad student 2006 Carnegie Mellon
Leonid Kontorovich grad student 2007 Carnegie Mellon
Pradeep Ravikumar grad student 2007 Carnegie Mellon
Mugizi R. Rwebangira grad student 2008 Carnegie Mellon
Douglas L. Vail grad student 2008 Carnegie Mellon
Ankan Saha grad student 2013 Chicago
David Meir Blei post-doc Carnegie Mellon
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Publications

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Mishra N, Zhang H, Lafferty JD, et al. (2015) A probabilistic graphical model-based approach for minimizing energy under performance constraints Acm Sigplan Notices. 50: 267-281
Zheng Q, Lafferty J. (2015) A convergent gradient descent algorithm for rank minimization and semidefinite programming from random linear measurements Advances in Neural Information Processing Systems. 2015: 109-117
Liu Z, Lafferty J. (2014) Blossom tree graphical models Advances in Neural Information Processing Systems. 2: 1458-1465
Zhu Y, Lafferty J. (2014) Quantized estimation of Gaussian sequence models in Euclidean balls Advances in Neural Information Processing Systems. 4: 3662-3670
Chen M, Lafferty J. (2013) Mismatched estimation and relative entropy in vector Gaussian channels Ieee International Symposium On Information Theory - Proceedings. 2845-2849
Kalaitzis A, Lafferty J, Lawrence ND, et al. (2013) The bigraphical lasso 30th International Conference On Machine Learning, Icml 2013. 2266-2274
Shender D, Lafferty J. (2013) Computation-risk tradeoffs for covariance-thresholded regression 30th International Conference On Machine Learning, Icml 2013. 1793-1801
Zhao T, Liu H, Roeder K, et al. (2012) The huge Package for High-dimensional Undirected Graph Estimation in R. Journal of Machine Learning Research : Jmlr. 13: 1059-1062
Lafferty J, Liu H, Wasserman L. (2012) Sparse nonparametric graphical models Statistical Science. 27: 519-537
Liu H, Lafferty J, Wasserman L. (2012) Exponential concentration for mutual information estimation with application to forests Advances in Neural Information Processing Systems. 4: 2537-2545
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