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John Lafferty - Publications

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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36 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Kalaitzis A, Lafferty J, Lawrence ND, Zhou S. The bigraphical lasso 30th International Conference On Machine Learning, Icml 2013. 2266-2274.  0.361
2012 Lafferty J, Liu H, Wasserman L. Sparse nonparametric graphical models Statistical Science. 27: 519-537. DOI: 10.1214/12-Sts391  0.372
2012 Liu H, Han F, Yuan M, Lafferty J, Wasserman L. High Dimensional Semiparametric Gaussian Copula Graphical Models Annals of Statistics. 40: 2293-2326. DOI: 10.1214/12-Aos1037  0.402
2012 Foygel R, Horrell M, Drton M, Lafferty J. Nonparametric reduced rank regression Advances in Neural Information Processing Systems. 2: 1628-1636.  0.305
2012 Liu H, Han F, Yuan M, Lafferty J, Wasserman L. The nonparanormal SKEPTIC Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1415-1422.  0.312
2010 Ravikumar P, Wainwright MJ, Lafferty JD. High-dimensional ising model selection using ℓ1-regularized logistic regression Annals of Statistics. 38: 1287-1319. DOI: 10.1214/09-Aos691  0.563
2010 Zhou S, Lafferty J, Wasserman L. Time varying undirected graphs Machine Learning. 80: 295-319. DOI: 10.1007/S10994-010-5180-0  0.343
2009 Yu K, Lafferty J, Zhu S, Gong Y. Large-scale collaborative prediction using a nonparametric random effects model Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1185-1192. DOI: 10.1145/1553374.1553525  0.334
2009 Ravikumar P, Lafferty J, Liu H, Wasserman L. Sparse additive models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 71: 1009-1030. DOI: 10.1111/J.1467-9868.2009.00718.X  0.648
2009 Zhou S, Lafferty J, Wasserman L. Compressed and privacy-sensitive sparse regression Ieee Transactions On Information Theory. 55: 846-866. DOI: 10.1109/Tit.2008.2009605  0.421
2009 Liu H, Lafferty J, Wasserman L. Nonparametric regression and classification with joint sparsity constraints Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 969-976.  0.36
2009 Ravikumar P, Liu H, Lafferty J, Wasserman L. SpAM: Sparse additive models Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.368
2007 Vail DL, Veloso MM, Lafferty JD. Conditional random fields for activity recognition Proceedings of the International Conference On Autonomous Agents. 1331-1338. DOI: 10.1145/1329125.1329409  0.744
2007 Nallapati RM, Cohen W, Ditmore S, Lafferty JD, Ung K. Multiscale topic tomography Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 520-529. DOI: 10.1145/1281192.1281249  0.311
2007 Vail DL, Lafferty JD, Veloso MM. Feature selection in conditional random fields for activity recognition Ieee International Conference On Intelligent Robots and Systems. 3379-3384. DOI: 10.1109/IROS.2007.4399441  0.729
2007 Lafferty J, Wasserman L. Comments on: Nonparametric inference with generalized likelihood ratio tests : N Test. 16: 453-455. DOI: 10.1007/S11749-007-0084-4  0.345
2007 Smith NA, Vail DL, Lafferty JD. Computationally efficient m-estimation of log-linear structure models Acl 2007 - Proceedings of the 45th Annual Meeting of the Association For Computational Linguistics. 752-759.  0.734
2006 Ravikumar P, Lafferty J. Quadratic programming relaxations for metric labeling and markov random field MAP estimation Acm International Conference Proceeding Series. 148: 737-744. DOI: 10.1145/1143844.1143937  0.52
2006 Blei DM, Lafferty JD. Dynamic topic models Acm International Conference Proceeding Series. 148: 113-120. DOI: 10.1145/1143844.1143859  0.539
2006 Zhai C, Lafferty J. A risk minimization framework for information retrieval Information Processing and Management. 42: 31-55. DOI: 10.1016/J.Ipm.2004.11.003  0.577
2005 Lafferty J, Lebanon G. Diffusion kernels on statistical manifolds Journal of Machine Learning Research. 6.  0.669
2005 Blei DM, Lafferty JD. Correlated topic models Advances in Neural Information Processing Systems. 147-154.  0.555
2004 Zhai C, Lafferty J. A study of smoothing methods for language models applied to information retrieval Acm Transactions On Information Systems. 22: 179-214. DOI: 10.1145/984321.984322  0.564
2004 Blum A, Lafferty J, Rwebangira MR, Reddy R. Semi-supervised learning using randomized mincuts Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 97-104.  0.726
2004 Lebanon G, Lafferty J. Hyperplane margin classifiers on the multinomial manifold Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 520-527.  0.701
2004 Lafferty J, Zhu X, Liu Y. Kernel conditional random fields: Representation and clique selection Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 504-511.  0.385
2003 Gamburd A, Lafferty J, Rockmore D. Eigenvalue spacings for quantized cat maps Journal of Physics a: Mathematical and General. 36: 3487-3499. DOI: 10.1088/0305-4470/36/12/336  0.326
2003 Zhai C, Cohen WW, Lafferty J. Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval Sigir Forum (Acm Special Interest Group On Information Retrieval). 10-17.  0.514
2003 Lafferty J, Lebanon G. Information diffusion kernels Advances in Neural Information Processing Systems.  0.669
2003 Lebanon G, Lafferty J. Conditional models on the ranking poset Advances in Neural Information Processing Systems.  0.671
2002 Lebanon G, Lafferty J. Boosting and maximum likelihood for exponential models Advances in Neural Information Processing Systems.  0.687
2001 Zhai C, Lafferty J. Model-based feedback in the language modeling approach to information retrieval International Conference On Information and Knowledge Management, Proceedings. 403-410.  0.496
2001 Lafferty J, Zhai C. Document language models, query models, and risk minimization for information retrieval Sigir Forum (Acm Special Interest Group On Information Retrieval). 111-119.  0.531
2001 Zhai C, Lafferty J. A study of smoothing methods for language models applied to ad hoc information retrieval Sigir Forum (Acm Special Interest Group On Information Retrieval). 334-342.  0.51
1999 Beeferman D, Berger A, Lafferty J. Statistical models for text segmentation Machine Learning. 34: 177-210. DOI: 10.1023/A:1007506220214  0.425
1997 Pietra SD, Pietra VD, Lafferty J. Inducing features of random fields Ieee Transactions On Pattern Analysis and Machine Intelligence. 19: 380-393. DOI: 10.1109/34.588021  0.467
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