| Conditional random fields: Probabilistic models for segmenting and labeling sequence data J Lafferty, A McCallum, F Pereira Icml 1 (2), 3, 2001 | 19323 | 2001 |
| Advances in neural information processing systems 22 DD Lee, P Pham, Y Largman, A Ng Tech Rep, 2009 | 7641* | 2009 |
| Semi-supervised learning using gaussian fields and harmonic functions X Zhu, Z Ghahramani, JD Lafferty Proceedings of the 20th International conference on Machine learning (ICML …, 2003 | 5874* | 2003 |
| Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006 | 5430* | 2006 |
| A statistical approach to machine translation PF Brown, J Cocke, SA Della Pietra, VJ Della Pietra, F Jelinek, J Lafferty, ... Computational linguistics 16 (2), 79-85, 1990 | 3008 | 1990 |
| Clustering with Bregman divergences A Banerjee, S Merugu, IS Dhillon, J Ghosh Journal of machine learning research 6 (Oct), 1705-1749, 2005 | 2265 | 2005 |
| A correlated topic model of science DM Blei, JD Lafferty The annals of applied statistics, 17-35, 2007 | 2248 | 2007 |
| A study of smoothing methods for language models applied to ad hoc information retrieval C Zhai, J Lafferty ACM Sigir Forum 51 (2), 268-276, 2017 | 2043 | 2017 |
| Inducing features of random fields S Della Pietra, V Della Pietra, J Lafferty IEEE transactions on pattern analysis and machine intelligence 19 (4), 380-393, 2002 | 1724 | 2002 |
| Diffusion kernels on graphs and other discrete structures RI Kondor, J Lafferty Proceedings of the 19th international conference on machine learning 2002 …, 2002 | 1714 | 2002 |
| A study of smoothing methods for language models applied to information retrieval C Zhai, J Lafferty ACM Transactions on Information Systems (TOIS) 22 (2), 179-214, 2004 | 1620 | 2004 |
| Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006 | 1446 | 2006 |
| Using maximum entropy for text classification K Nigam, J Lafferty, A McCallum IJCAI-99 workshop on machine learning for information filtering 1 (1), 61-67, 1999 | 1439 | 1999 |
| High-dimensional Ising model selection using ℓ1-regularized logistic regression P Ravikumar, MJ Wainwright, JD Lafferty | 1221 | 2010 |
| Document language models, query models, and risk minimization for information retrieval J Lafferty, C Zhai Proceedings of the 24th annual international ACM SIGIR conference on …, 2001 | 1132 | 2001 |
| Statistical models for text segmentation D Beeferman, A Berger, J Lafferty Machine learning 34, 177-210, 1999 | 1036 | 1999 |
| Model-based feedback in the language modeling approach to information retrieval C Zhai, J Lafferty Proceedings of the tenth international conference on Information and …, 2001 | 968 | 2001 |
| Information retrieval as statistical translation A Berger, J Lafferty ACM SIGIR Forum 51 (2), 219-226, 2017 | 963 | 2017 |
| The nonparanormal: Semiparametric estimation of high dimensional undirected graphs. H Liu, J Lafferty, L Wasserman Journal of Machine Learning Research 10 (10), 2009 | 919 | 2009 |
| Sparse additive models P Ravikumar, J Lafferty, H Liu, L Wasserman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 871 | 2009 |
