John D. Lafferty

2009
63	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Compressed and Privacy-Sensitive Sparse Regression. IEEE Transactions on Information Theory 55(2): 846-866 (2009)
2008
62	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Time Varying Undirected Graphs. COLT 2008: 455-466
61	EE	Han Liu, John D. Lafferty, Larry Wasserman: Nonparametric regression and classification with joint sparsity constraints. NIPS 2008: 969-976
2007
60	EE	Douglas L. Vail, Manuela M. Veloso, John D. Lafferty: Conditional random fields for activity recognition. AAMAS 2007: 235
59	EE	Noah A. Smith, Douglas L. Vail, John D. Lafferty: Computationally Efficient M-Estimation of Log-Linear Structure Models. ACL 2007
58	EE	Ramesh Nallapati, William W. Cohen, John D. Lafferty: Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. ICDM Workshops 2007: 349-354
57	EE	Douglas L. Vail, John D. Lafferty, Manuela M. Veloso: Feature selection in conditional random fields for activity recognition. IROS 2007: 3379-3384
56	EE	Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung: Multiscale topic tomography. KDD 2007: 520-529
55	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Compressed Regression. NIPS 2007
54	EE	Pradeep D. Ravikumar, Han Liu, John D. Lafferty, Larry A. Wasserman: SpAM: Sparse Additive Models. NIPS 2007
53	EE	John D. Lafferty, Larry A. Wasserman: Statistical Analysis of Semi-Supervised Regression. NIPS 2007
52	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Compressed Regression CoRR abs/0706.0534: (2007)
2006
51	EE	David M. Blei, John D. Lafferty: Dynamic topic models. ICML 2006: 113-120
50	EE	Pradeep D. Ravikumar, John D. Lafferty: Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. ICML 2006: 737-744
49	EE	Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty: High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression. NIPS 2006: 1465-1472
48	EE	ChengXiang Zhai, John D. Lafferty: A risk minimization framework for information retrieval. Inf. Process. Manage. 42(1): 31-55 (2006)
2005
47	EE	Xiaojin Zhu, John D. Lafferty: Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. ICML 2005: 1052-1059
46	EE	David M. Blei, John D. Lafferty: Correlated Topic Models. NIPS 2005
45	EE	Pradeep D. Ravikumar, John D. Lafferty: Preconditioner Approximations for Probabilistic Graphical Models. NIPS 2005
44	EE	John D. Lafferty, Larry A. Wasserman: Rodeo: Sparse Nonparametric Regression in High Dimensions. NIPS 2005
43	EE	John D. Lafferty, Guy Lebanon: Diffusion Kernels on Statistical Manifolds. Journal of Machine Learning Research 6: 129-163 (2005)
2004
42	EE	Guy Lebanon, John D. Lafferty: Hyperplane margin classifiers on the multinomial manifold. ICML 2004
41	EE	John D. Lafferty, Xiaojin Zhu, Yan Liu: Kernel conditional random fields: representation and clique selection. ICML 2004
40	EE	Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy: Semi-supervised learning using randomized mincuts. ICML 2004
39	EE	Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty: Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. NIPS 2004
38	EE	Pradeep Ravikumar, John D. Lafferty: Variational Chernoff Bounds for Graphical Models. UAI 2004: 462-469
37	EE	ChengXiang Zhai, John D. Lafferty: A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst. 22(2): 179-214 (2004)
2003
36		Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty: Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML 2003: 912-919
35	EE	ChengXiang Zhai, William W. Cohen, John D. Lafferty: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR 2003: 10-17
34	EE	James Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Richard M. Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai: Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. SIGIR Forum 37(1): 31-47 (2003)
2002
33	EE	Shyjan Mahamud, Martial Hebert, John D. Lafferty: Combining Simple Discriminators for Object Discrimination. ECCV (3) 2002: 776-790
32		Risi Imre Kondor, John D. Lafferty: Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML 2002: 315-322
31		Guy Lebanon, John D. Lafferty: Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML 2002: 363-370
30	EE	John D. Lafferty, Guy Lebanon: Information Diffusion Kernels. NIPS 2002: 375-382
29	EE	Guy Lebanon, John D. Lafferty: Conditional Models on the Ranking Poset. NIPS 2002: 415-422
28	EE	ChengXiang Zhai, John D. Lafferty: Two-stage language models for information retrieval. SIGIR 2002: 49-56
27		Thomas P. Minka, John D. Lafferty: Expectation-Propogation for the Generative Aspect Model. UAI 2002: 352-359
2001
26		ChengXiang Zhai, John D. Lafferty: Model-based Feedback in the Language Modeling Approach to Information Retrieval. CIKM 2001: 403-410
25		John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML 2001: 282-289
24		John D. Lafferty, ChengXiang Zhai: Document Language Models, Query Models, and Risk Minimization for Information Retrieval. SIGIR 2001: 111-119
23		ChengXiang Zhai, John D. Lafferty: A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. SIGIR 2001: 334-342
22	EE	John D. Lafferty, Larry A. Wasserman: Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. UAI 2001: 293-300
21	EE	W. Bruce Croft, James P. Callan, John D. Lafferty: Workshop on language modeling and information retrieval. SIGIR Forum 35(1): 4-6 (2001)
1999
20	EE	John D. Lafferty: Additive Models, Boosting, and Inference for Generalized Divergences. COLT 1999: 125-133
19	EE	Adam L. Berger, John D. Lafferty: Information Retrieval as Statistical Translation. SIGIR 1999: 222-229
18	EE	Adam L. Berger, John D. Lafferty: The Weaver System for Document Retrieval. TREC 1999
17		John D. Lafferty, Alexander Vardy: Ordered Binary Decision Diagrams and Minimal Trellises. IEEE Trans. Computers 48(9): 971-987 (1999)
16		Doug Beeferman, Adam L. Berger, John D. Lafferty: Statistical Models for Text Segmentation. Machine Learning 34(1-3): 177-210 (1999)
1997
15		Doug Beeferman, Adam L. Berger, John D. Lafferty: A Model of Lexical Attraction and Repulsion. ACL 1997: 373-380
14	EE	John D. Lafferty, Daniel N. Rockmore: Spectral Techniques for Expander Codes. STOC 1997: 160-167
13	EE	Doug Beeferman, Adam L. Berger, John D. Lafferty: Text Segmentation Using Exponential Models CoRR cmp-lg/9706016: (1997)
12	EE	Doug Beeferman, Adam L. Berger, John D. Lafferty: A Model of Lexical Attraction and Repulsion CoRR cmp-lg/9706018: (1997)
11	EE	Stephen Della Pietra, Vincent J. Della Pietra, John D. Lafferty: Inducing Features of Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 19(4): 380-393 (1997)
1995
10	EE	Stephen Della Pietra, Vincent J. Della Pietra, John D. Lafferty: Inducing Features of Random Fields CoRR abs/cmp-lg/9506014: (1995)
9	EE	Dennis Grinberg, John D. Lafferty, Daniel Dominic Sleator: A Robust Parsing Algorithm For Link Grammars CoRR abs/cmp-lg/9508003: (1995)
8	EE	John D. Lafferty, Bernhard Suhm: Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models CoRR abs/cmp-lg/9509003: (1995)
1994
7	EE	Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, Salim Roukos: Decision Tree Parsing using a Hidden Derivation Model. HLT 1994
6	EE	Adam L. Berger, Peter F. Brown, Stephen Della Pietra, Vincent J. Della Pietra, John R. Gillett, John D. Lafferty, Robert L. Mercer, Harry Printz, Lubos Ures: The Candide System for Machine Translation. HLT 1994
5		Stephen Della Pietra, Vincent J. Della Pietra, John R. Gillet, John D. Lafferty, Harry Printz, Lubos Ures: Inference and Estimation of a Long-Range Trigram Model. ICGI 1994: 78-92
1993
4		Ezra Black, Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Salim Roukos: Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing. ACL 1993: 31-37
1992
3		Ezra Black, John D. Lafferty, Salim Roukos: Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals. ACL 1992: 185-192
1991
2		Frederick Jelinek, John D. Lafferty: Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars. Computational Linguistics 17(3): 315-323 (1991)
1990
1		Peter F. Brown, John Cocke, Stephen Della Pietra, Vincent J. Della Pietra, Frederick Jelinek, John D. Lafferty, Robert L. Mercer, Paul S. Roossin: A Statistical Approach to Machine Translation. Computational Linguistics 16(2): 79-85 (1990)

Coauthor Index

1	James Allan	[34]
2	Jay Aslam	[34]
3	Doug Beeferman	[12] [13] [15] [16]
4	Nicholas J. Belkin	[34]
5	Adam L. Berger	[6] [12] [13] [15] [16] [18] [19]
6	Ezra Black	[3] [4]
7	David M. Blei	[46] [51]
8	Avrim Blum	[40]
9	Peter F. Brown	[1] [6]
10	Chris Buckley	[34]
11	James P. Callan (Jamie Callan)	[21] [34]
12	John Cocke	[1]
13	William W. Cohen	[35] [58]
14	W. Bruce Croft	[21] [34]
15	Susan Ditmore	[56]
16	Susan T. Dumais	[34]
17	Norbert Fuhr	[34]
18	Zoubin Ghahramani	[36] [39]
19	John R. Gillet	[5]
20	John R. Gillett	[6]
21	Dennis Grinberg	[9]
22	Donna Harman	[34]
23	David J. Harper	[34]
24	Martial Hebert	[33]
25	Djoerd Hiemstra	[34]
26	Thomas Hofmann	[34]
27	Eduard H. Hovy	[34]
28	Frederick Jelinek	[1] [2] [4] [7]
29	Jaz S. Kandola	[39]
30	Risi Imre Kondor	[32]
31	Wessel Kraaij	[34]
32	Victor Lavrenko	[34]
33	Guy Lebanon	[29] [30] [31] [42] [43]
34	David D. Lewis	[34]
35	Elizabeth D. Liddy (Liz Liddy)	[34]
36	Han Liu	[54] [61]
37	Yan Liu (Yan (Jenny) Liu)	[41]
38	David M. Magerman	[4] [7]
39	Shyjan Mahamud	[33]
40	Raghavan Manmatha (R. Manmatha)	[34]
41	Andrew McCallum	[25] [34]
42	Robert L. Mercer	[1] [4] [6] [7]
43	Thomas P. Minka (Tom Minka)	[27]
44	Ramesh Nallapati	[56] [58]
45	Fernando C. N. Pereira	[25]
46	Stephen Della Pietra	[1] [5] [6] [10] [11]
47	Vincent J. Della Pietra	[1] [5] [6] [10] [11]
48	Jay M. Ponte	[34]
49	John M. Prager	[34]
50	Harry Printz	[5] [6]
51	Dragomir R. Radev	[34]
52	Adwait Ratnaparkhi	[7]
53	Pradeep Ravikumar	[38] [49]
54	Pradeep D. Ravikumar	[45] [50] [54]
55	Rajashekar Reddy	[40]
56	Philip Resnik	[34]
57	Stephen E. Robertson (Stephen Robertson)	[34]
58	Daniel N. Rockmore	[14]
59	Paul S. Roossin	[1]
60	Ronald Rosenfeld (Roni Rosenfeld)	[34]
61	Salim Roukos	[3] [4] [7] [34]
62	Mugizi Robert Rwebangira	[40]
63	Mark Sanderson	[34]
64	Richard M. Schwartz	[34]
65	Amit Singhal	[34]
66	Daniel Dominic Sleator	[9]
67	Alan F. Smeaton	[34]
68	Noah A. Smith	[59]
69	Bernhard Suhm	[8]
70	Howard R. Turtle	[34]
71	Kin Ung	[56]
72	Lubos Ures	[5] [6]
73	Douglas L. Vail	[57] [59] [60]
74	Alexander Vardy	[17]
75	Manuela M. Veloso	[57] [60]
76	Ellen M. Voorhees	[34]
77	Martin J. Wainwright	[49]
78	Larry Wasserman	[61]
79	Larry A. Wasserman	[22] [44] [52] [53] [54] [55] [62] [63]
80	Ralph M. Weischedel	[34]
81	Jinxi Xu	[34]
82	ChengXiang Zhai (Chengxiang Zhai)	[23] [24] [26] [28] [34] [35] [37] [48]
83	Shuheng Zhou	[52] [55] [62] [63]
84	Xiaojin Zhu	[36] [39] [41] [47]

Colors in the list of coauthors