| 2019 | AAAI | TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts. | Michihiro Yasunaga, John D. Lafferty |
| 2018 | ASPLOS | CALOREE: Learning Control for Predictable Latency and Low Energy. | Nikita Mishra, Connor Imes, John D. Lafferty, Henry Hoffmann |
| 2015 | ASPLOS | A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints. | Nikita Mishra, Huazhe Zhang, John D. Lafferty, Henry Hoffmann |
| 2013 | ICML | The Bigraphical Lasso. | Alfredo A. Kalaitzis, John D. Lafferty, Neil D. Lawrence, Shuheng Zhou |
| 2013 | ICML | Computation-Risk Tradeoffs for Covariance-Thresholded Regression. | Dinah Shender, John D. Lafferty |
| 2013 | ISIT | Mismatched estimation and relative entropy in vector Gaussian channels. | Minhua Chen, John D. Lafferty |
| 2012 | ICML | Sparse Additive Functional and Kernel CCA. | Sivaraman Balakrishnan, Kriti Puniyani, John D. Lafferty |
| 2012 | ICML | Sequential Nonparametric Regression. | Haijie Gu, John D. Lafferty |
| 2012 | ICML | High Dimensional Semiparametric Gaussian Copula Graphical Models. | Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman |
| 2012 | ICML | Conditional Sparse Coding and Grouped Multivariate Regression. | Min Xu, John D. Lafferty |
| 2011 | CVPR | Learning image representations from the pixel level via hierarchical sparse coding. | Kai Yu, Yuanqing Lin, John D. Lafferty |
| 2010 | COLT | Forest Density Estimation. | Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, Min Xu |
| 2009 | ICML | Large-scale collaborative prediction using a nonparametric random effects model. | Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong |
| 2009 | SIGIR | Fast nonparametric matrix factorization for large-scale collaborative filtering. | Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong |
| 2008 | COLT | Time Varying Undirected Graphs. | Shuheng Zhou, John D. Lafferty, Larry A. Wasserman |
| 2007 | ACL | Computationally Efficient M-Estimation of Log-Linear Structure Models. | Noah A. Smith, Douglas L. Vail, John D. Lafferty |
| 2007 | ICASSP | Signal Decomposition using Multiscale Admixture Models. | Matus Telgarsky, John D. Lafferty |
| 2007 | ICDM | Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. | Ramesh Nallapati, William W. Cohen, John D. Lafferty |
| 2007 | IROS | Feature selection in conditional random fields for activity recognition. | Douglas L. Vail, John D. Lafferty, Manuela M. Veloso |
| 2007 | KDD | Multiscale topic tomography. | Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung |
| 2006 | ICML | Dynamic topic models. | David M. Blei, John D. Lafferty |
| 2006 | ICML | Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. | Pradeep Ravikumar, John D. Lafferty |
| 2005 | ICML | Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. | Xiaojin Zhu, John D. Lafferty |
| 2004 | ICML | Semi-supervised learning using randomized mincuts. | Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy |
| 2004 | ICML | Kernel conditional random fields: representation and clique selection. | John D. Lafferty, Xiaojin Zhu, Yan Liu |
| 2004 | ICML | Hyperplane margin classifiers on the multinomial manifold. | Guy Lebanon, John D. Lafferty |
| 2004 | UAI | Variational Chernoff Bounds for Graphical Models. | Pradeep Ravikumar, John D. Lafferty |
| 2003 | ICML | Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. | Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty |
| 2003 | SIGIR | Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. | ChengXiang Zhai, William W. Cohen, John D. Lafferty |
| 2002 | ECCV | Combining Simple Discriminators for Object Discrimination. | Shyjan Mahamud, Martial Hebert, John D. Lafferty |
| 2002 | ICML | Diffusion Kernels on Graphs and Other Discrete Input Spaces. | Risi Kondor, John D. Lafferty |
| 2002 | ICML | Cranking: Combining Rankings Using Conditional Probability Models on Permutations. | Guy Lebanon, John D. Lafferty |
| 2002 | SIGIR | Two-stage language models for information retrieval. | ChengXiang Zhai, John D. Lafferty |
| 2002 | UAI | Expectation-Propogation for the Generative Aspect Model. | Thomas P. Minka, John D. Lafferty |
| 2001 | CIKM | Model-based Feedback in the Language Modeling Approach to Information Retrieval. | ChengXiang Zhai, John D. Lafferty |
| 2001 | ICML | Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. | John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira |
| 2001 | SIGIR | Document Language Models, Query Models, and Risk Minimization for Information Retrieval. | John D. Lafferty, ChengXiang Zhai |
| 2001 | SIGIR | A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. | ChengXiang Zhai, John D. Lafferty |
| 2001 | UAI | Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. | John D. Lafferty, Larry A. Wasserman |
| 1999 | COLT | Additive Models, Boosting, and Inference for Generalized Divergences. | John D. Lafferty |
| 1999 | SIGIR | Information Retrieval as Statistical Translation. | Adam L. Berger, John D. Lafferty |
| 1998 | ICASSP | Cyberpunc: a lightweight punctuation annotation system for speech. | Doug Beeferman, Adam L. Berger, John D. Lafferty |
| 1997 | ACL | A Model of Lexical Attraction and Repulsion. | Doug Beeferman, Adam L. Berger, John D. Lafferty |
| 1997 | EMNLP | Text Segmentation Using Exponential Models. | Doug Beeferman, Adam L. Berger, John D. Lafferty |
| 1997 | STOC | Spectral Techniques for Expander Codes. | John D. Lafferty, Daniel N. Rockmore |
| 1996 | Interspeech | Cheating with imperfect transcripts. | Paul Placeway, John D. Lafferty |
| 1996 | Interspeech | Word clustering with parallel spoken language corpora. | Ye-Yi Wang, John D. Lafferty, Alex Waibel |
| 1994 | NAACL | The Candide System for Machine Translation. | 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 |
| 1994 | NAACL | Decision Tree Parsing using a Hidden Derivation Model. | Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, Salim Roukos |
| 1993 | ACL | Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing. | Ezra Black, Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Salim Roukos |
| 1992 | ACL | Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals. | Ezra Black, John D. Lafferty, Salim Roukos |
| 1992 | NAACL | Towards History-based Grammars: Using Richer Models for Probabilistic Parsing. | Ezra Black, Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Salim Roukos |
| 1992 | NAACL | Decision Tree Models Applied to the Labeling of Text with Parts-of-Speech. | Ezra Black, Frederick Jelinek, John D. Lafferty, Robert L. Mercer, Salim Roukos |