John Lafferty
Affiliations: | Carnegie Mellon University, Pittsburgh, PA | ||
2011- | University of Chicago, Chicago, IL |
Area:
statistical machine learningWebsite:
https://galton.uchicago.edu/~lafferty/Google:
"John Lafferty"Mean distance: 16.44 (cluster 29)
Children
Sign in to add traineeChenXiang 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 |