| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | John D. Lafferty, Han Liu, Larry A. Wasserman |
Sparse Nonparametric Graphical Models  |
CoRR  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John D. Lafferty, Larry A. Wasserman |
Forest Density Estimation. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Mladen Kolar, John D. Lafferty, Larry A. Wasserman |
Union Support Recovery in Multi-task Learning. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Kai Yu, Yuanqing Lin, John D. Lafferty |
Learning image representations from the pixel level via hierarchical sparse coding. |
CVPR |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Shuheng Zhou, John D. Lafferty, Larry A. Wasserman |
Time varying undirected graphs. |
Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, Min Xu |
Forest Density Estimation. |
COLT |
2010 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Christopher K. I. Williams, John Shawe-Taylor, Richard S. Zemel, Aron Culotta (eds.) |
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Han Liu, Xi Chen, John D. Lafferty, Larry A. Wasserman |
Graph-Valued Regression. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Han Liu, John D. Lafferty, Larry A. Wasserman |
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs. |
Journal of Machine Learning Research |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Shuheng Zhou, John D. Lafferty, Larry A. Wasserman |
Compressed and Privacy-Sensitive Sparse Regression. |
IEEE Transactions on Information Theory |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong |
Fast nonparametric matrix factorization for large-scale collaborative filtering. |
SIGIR |
2009 |
DBLP DOI BibTeX RDF |
collaborative filtering, matrix factorization, nonparametric models |
| 1 | Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong |
Large-scale collaborative prediction using a nonparametric random effects model. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta (eds.) |
Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Shuheng Zhou, John D. Lafferty, Larry A. Wasserman |
Time Varying Undirected Graphs. |
COLT |
2008 |
DBLP BibTeX RDF |
|
| 1 | Han Liu, John D. Lafferty, Larry A. Wasserman |
Nonparametric regression and classification with joint sparsity constraints. |
NIPS |
2008 |
DBLP BibTeX RDF |
|
| 1 | Han Liu, John D. Lafferty, Larry A. Wasserman |
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | Shuheng Zhou, John D. Lafferty, Larry A. Wasserman |
Compressed Regression |
CoRR |
2007 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Noah A. Smith, Douglas L. Vail, John D. Lafferty |
Computationally Efficient M-Estimation of Log-Linear Structure Models. |
ACL |
2007 |
DBLP BibTeX RDF |
|
| 1 | Douglas L. Vail, John D. Lafferty, Manuela M. Veloso |
Feature selection in conditional random fields for activity recognition. |
IROS |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Douglas L. Vail, Manuela M. Veloso, John D. Lafferty |
Conditional random fields for activity recognition. |
AAMAS |
2007 |
DBLP DOI BibTeX RDF |
conditional random fields (CRFs), hidden Markov models (HMMs), activity recognition |
| 1 | John D. Lafferty, Larry A. Wasserman |
Statistical Analysis of Semi-Supervised Regression. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Pradeep D. Ravikumar, Han Liu, John D. Lafferty, Larry A. Wasserman |
SpAM: Sparse Additive Models. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Shuheng Zhou, John D. Lafferty, Larry A. Wasserman |
Compressed Regression. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung |
Multiscale topic tomography. |
KDD |
2007 |
DBLP DOI BibTeX RDF |
topic modeling, poisson, temporal evolution, time-scale |
| 1 | ChengXiang Zhai, John D. Lafferty |
A risk minimization framework for information retrieval. |
Inf. Process. Manage. |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Pradeep D. Ravikumar, John D. Lafferty |
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | David M. Blei, John D. Lafferty |
Dynamic topic models. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Martin J. Wainwright, Pradeep D. Ravikumar, John D. Lafferty |
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Guy Lebanon |
Diffusion Kernels on Statistical Manifolds. |
Journal of Machine Learning Research |
2005 |
DBLP BibTeX RDF |
|
| 1 | Xiaojin Zhu, John D. Lafferty |
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | John D. Lafferty, Larry A. Wasserman |
Rodeo: Sparse Nonparametric Regression in High Dimensions. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | David M. Blei, John D. Lafferty |
Correlated Topic Models. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | Pradeep D. Ravikumar, John D. Lafferty |
Preconditioner Approximations for Probabilistic Graphical Models. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | ChengXiang Zhai, John D. Lafferty |
A study of smoothing methods for language models applied to information retrieval. |
ACM Trans. Inf. Syst. |
2004 |
DBLP DOI BibTeX RDF |
Dirichlet prior smoothing, Jelinek-Mercer smoothing, TF-IDF weighting, absolute discounting smoothing, backoff smoothing, interpolation smoothing, two-stage smoothing, EM algorithm, term weighting, Statistical language models, leave-one-out, risk minimization |
| 1 | John D. Lafferty, Xiaojin Zhu, Yan Liu 0002 |
Kernel conditional random fields: representation and clique selection. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Guy Lebanon, John D. Lafferty |
Hyperplane margin classifiers on the multinomial manifold. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy |
Semi-supervised learning using randomized mincuts. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Pradeep D. Ravikumar, John D. Lafferty |
Variational Chernoff Bounds for Graphical Models. |
UAI |
2004 |
DBLP BibTeX RDF |
|
| 1 | Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty |
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | 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 |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | ChengXiang Zhai, William W. Cohen, John D. Lafferty |
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. |
SIGIR |
2003 |
DBLP DOI BibTeX RDF |
maximal marginal relevance, subtopic retrieval, language models |
| 1 | Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty |
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. |
ICML |
2003 |
DBLP BibTeX RDF |
|
| 1 | ChengXiang Zhai, John D. Lafferty |
Two-stage language models for information retrieval. |
SIGIR |
2002 |
DBLP DOI BibTeX RDF |
Dirichlet prior, two-stage language models, two-stage smoothing, interpolation, parameter estimation, mixture model, leave-one-out, risk minimization |
| 1 | Shyjan Mahamud, Martial Hebert, John D. Lafferty |
Combining Simple Discriminators for Object Discrimination. |
ECCV |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Guy Lebanon, John D. Lafferty |
Cranking: Combining Rankings Using Conditional Probability Models on Permutations. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Risi Imre Kondor, John D. Lafferty |
Diffusion Kernels on Graphs and Other Discrete Input Spaces. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Thomas P. Minka, John D. Lafferty |
Expectation-Propogation for the Generative Aspect Model. |
UAI |
2002 |
DBLP BibTeX RDF |
|
| 1 | Guy Lebanon, John D. Lafferty |
Conditional Models on the Ranking Poset. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Guy Lebanon |
Information Diffusion Kernels. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | W. Bruce Croft, James P. Callan, John D. Lafferty |
Workshop on language modeling and information retrieval. |
SIGIR Forum |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | ChengXiang Zhai, John D. Lafferty |
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. |
SIGIR |
2001 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, ChengXiang Zhai |
Document Language Models, Query Models, and Risk Minimization for Information Retrieval. |
SIGIR |
2001 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira |
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. |
ICML |
2001 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Larry A. Wasserman |
Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. |
UAI |
2001 |
DBLP BibTeX RDF |
|
| 1 | ChengXiang Zhai, John D. Lafferty |
Model-based Feedback in the Language Modeling Approach to Information Retrieval. |
CIKM |
2001 |
DBLP BibTeX RDF |
|
| 1 | Guy Lebanon, John D. Lafferty |
Boosting and Maximum Likelihood for Exponential Models. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Alexander Vardy |
Ordered Binary Decision Diagrams and Minimal Trellises. |
IEEE Trans. Computers |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Doug Beeferman, Adam L. Berger, John D. Lafferty |
Statistical Models for Text Segmentation. |
Machine Learning |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Adam L. Berger, John D. Lafferty |
The Weaver System for Document Retrieval. |
TREC |
1999 |
DBLP BibTeX RDF |
|
| 1 | Adam L. Berger, John D. Lafferty |
Information Retrieval as Statistical Translation. |
SIGIR |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | John D. Lafferty |
Additive Models, Boosting, and Inference for Generalized Divergences. |
COLT |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Stephen Della Pietra, Vincent J. Della Pietra, John D. Lafferty |
Inducing Features of Random Fields. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1997 |
DBLP DOI BibTeX RDF |
iterative scaling, word morphology, clustering, natural language processing, EM algorithm, maximum entropy, statistical learning, Kullback-Leibler divergence, Random field |
| 1 | Doug Beeferman, Adam L. Berger, John D. Lafferty |
A Model of Lexical Attraction and Repulsion |
CoRR |
1997 |
DBLP BibTeX RDF |
|
| 1 | Doug Beeferman, Adam L. Berger, John D. Lafferty |
Text Segmentation Using Exponential Models |
CoRR |
1997 |
DBLP BibTeX RDF |
|
| 1 | Doug Beeferman, Adam L. Berger, John D. Lafferty |
A Model of Lexical Attraction and Repulsion. |
ACL |
1997 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Daniel N. Rockmore |
Spectral Techniques for Expander Codes. |
STOC |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Paul Placeway, John D. Lafferty |
Cheating with imperfect transcripts. |
ICSLP |
1996 |
DBLP BibTeX RDF |
|
| 1 | Ye-Yi Wang, John D. Lafferty, Alex Waibel |
Word clustering with parallel spoken language corpora. |
ICSLP |
1996 |
DBLP BibTeX RDF |
|
| 1 | John D. Lafferty, Bernhard Suhm |
Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models |
CoRR |
1995 |
DBLP BibTeX RDF |
|
| 1 | Dennis Grinberg, John D. Lafferty, Daniel Dominic Sleator |
A Robust Parsing Algorithm For Link Grammars |
CoRR |
1995 |
DBLP BibTeX RDF |
|
| 1 | Stephen Della Pietra, Vincent J. Della Pietra, John D. Lafferty |
Inducing Features of Random Fields |
CoRR |
1995 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Ezra Black, John D. Lafferty, Salim Roukos |
Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals. |
ACL |
1992 |
DBLP BibTeX RDF |
|
| 1 | Frederick Jelinek, John D. Lafferty |
Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars. |
Computational Linguistics |
1991 |
DBLP BibTeX RDF |
|
| 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 |
1990 |
DBLP BibTeX RDF |
|
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