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John Lafferty

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
 2011- University of Chicago, Chicago, IL 
Area:
statistical machine learning
Website:
https://galton.uchicago.edu/~lafferty/
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"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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Kalaitzis A, Lafferty J, Lawrence ND, et al. (2013) The bigraphical lasso 30th International Conference On Machine Learning, Icml 2013. 2266-2274
Lafferty J, Liu H, Wasserman L. (2012) Sparse nonparametric graphical models Statistical Science. 27: 519-537
Liu H, Han F, Yuan M, et al. (2012) High Dimensional Semiparametric Gaussian Copula Graphical Models Annals of Statistics. 40: 2293-2326
Foygel R, Horrell M, Drton M, et al. (2012) Nonparametric reduced rank regression Advances in Neural Information Processing Systems. 2: 1628-1636
Liu H, Han F, Yuan M, et al. (2012) The nonparanormal SKEPTIC Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1415-1422
Ravikumar P, Wainwright MJ, Lafferty JD. (2010) High-dimensional ising model selection using ℓ1-regularized logistic regression Annals of Statistics. 38: 1287-1319
Zhou S, Lafferty J, Wasserman L. (2010) Time varying undirected graphs Machine Learning. 80: 295-319
Yu K, Lafferty J, Zhu S, et al. (2009) Large-scale collaborative prediction using a nonparametric random effects model Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1185-1192
Ravikumar P, Lafferty J, Liu H, et al. (2009) Sparse additive models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 1009-1030
Zhou S, Lafferty J, Wasserman L. (2009) Compressed and privacy-sensitive sparse regression Ieee Transactions On Information Theory. 55: 846-866
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