| 2013 |
|---|
| 73 | Learning with Scope, with Application to Information Extraction and Classification. David M. Blei, J. Andrew Bagnell, Andrew McCallum. CoRR (abs/1301.0556) (2013). Web SearchBibTeXDownload |
| 2012 |
|---|
| 72 | Probabilistic topic models. David M. Blei. Commun. ACM (55): 77-84 (2012). Web SearchBibTeXDownload |
| 71 | Continuous Time Dynamic Topic Models. Chong Wang, David M. Blei, David Heckerman. CoRR (abs/1206.3298) (2012). Web SearchBibTeXDownload |
| 70 | Multilingual Topic Models for Unaligned Text. Jordan L. Boyd-Graber, David M. Blei. CoRR (abs/1205.2657) (2012). Web SearchBibTeXDownload |
| 69 | A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process. Chong Wang, David M. Blei. CoRR (abs/1201.1657) (2012). Web SearchBibTeXDownload |
| 68 | The Issue-Adjusted Ideal Point Model. Sean Gerrish, David M. Blei. CoRR (abs/1209.6004) (2012). Web SearchBibTeXDownload |
| 67 | Nested Hierarchical Dirichlet Processes. John William Paisley, Chong Wang, David M. Blei, Michael I. Jordan. CoRR (abs/1210.6738) (2012). Web SearchBibTeXDownload |
| 66 | Nonparametric Bayes Pachinko Allocation. Wei Li, David M. Blei, Andrew McCallum. CoRR (abs/1206.5270) (2012). Web SearchBibTeXDownload |
| 65 | Nonparametric variational inference. Samuel Gershman, Matthew D. Hoffman, David M. Blei. CoRR (abs/1206.4665) (2012). Web SearchBibTeXDownload |
| 64 | A Bayesian Nonparametric Approach to Image Super-resolution. Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies. CoRR (abs/1209.5019) (2012). Web SearchBibTeXDownload |
| 63 | Variational Bayesian Inference with Stochastic Search. John William Paisley, David M. Blei, Michael I. Jordan. ICML 2012. Web SearchBibTeXDownload |
| 62 | Sparse stochastic inference for latent Dirichlet allocation. David M. Mimno, Matthew D. Hoffman, David M. Blei. ICML 2012. Web SearchBibTeXDownload |
| 61 | Visualizing Topic Models. Allison June-Barlow Chaney, David M. Blei. ICWSM 2012. Web SearchBibTeXDownload |
| 60 | Stick-Breaking Beta Processes and the Poisson Process. John William Paisley, David M. Blei, Michael I. Jordan. Journal of Machine Learning Research - Proceedings Track (22): 850-858 (2012). Web SearchBibTeXDownload |
| 59 | How They Vote: Issue-Adjusted Models of Legislative Behavior. Sean Gerrish, David M. Blei. NIPS 2012, 2762-2770. Web SearchBibTeXDownload |
| 58 | Scalable Inference of Overlapping Communities. Prem Gopalan, David M. Mimno, Sean Gerrish, Michael J. Freedman, David M. Blei. NIPS 2012, 2258-2266. Web SearchBibTeXDownload |
| 57 | Truncation-free Online Variational Inference for Bayesian Nonparametric Models. Chong Wang, David M. Blei. NIPS 2012, 422-430. Web SearchBibTeXDownload |
| 2011 |
|---|
| 56 | Bayesian Checking for Topic Models. David M. Mimno, David M. Blei. EMNLP 2011, 227-237. Web SearchBibTeXDownload |
| 55 | Variational Inference for Stick-Breaking Beta Process Priors. John William Paisley, Lawrence Carin, David M. Blei. ICML 2011, 889-896. Web SearchBibTeX |
| 54 | Predicting Legislative Roll Calls from Text. Sean Gerrish, David M. Blei. ICML 2011, 489-496. Web SearchBibTeX |
| 53 | Distance Dependent Chinese Restaurant Processes. David M. Blei, Peter Frazier. Journal of Machine Learning Research (12): 2461-2488 (2011). Web SearchBibTeXDownload |
| 52 | Dirichlet Process Mixtures of Generalized Linear Models. Lauren Hannah, David M. Blei, Warren B. Powell. Journal of Machine Learning Research (12): 1923-1953 (2011). Web SearchBibTeXDownload |
| 51 | The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling. John William Paisley, Chong Wang, David M. Blei. Journal of Machine Learning Research - Proceedings Track (15): 74-82 (2011). Web SearchBibTeXDownload |
| 50 | Online Variational Inference for the Hierarchical Dirichlet Process. Chong Wang, John William Paisley, David M. Blei. Journal of Machine Learning Research - Proceedings Track (15): 752-760 (2011). Web SearchBibTeXDownload |
| 49 | Collaborative topic modeling for recommending scientific articles. Chong Wang, David M. Blei. KDD 2011, 448-456. Web SearchBibTeXDownload |
| 48 | A topographic latent source model for fMRI data. Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman. NeuroImage (57): 89-100 (2011). Web SearchBibTeXDownload |
| 47 | Spatial distance dependent Chinese restaurant processes for image segmentation. Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth, David M. Blei. NIPS 2011, 1476-1484. Web SearchBibTeXDownload |
| 2010 |
|---|
| 46 | Syntactic Topic Models. Jordan L. Boyd-Graber, David M. Blei. CoRR (abs/1002.4665) (2010). Web SearchBibTeXDownload |
| 45 | Building and using a semantivisual image hierarchy. Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Fei-Fei Li. CVPR 2010, 3336-3343. Web SearchBibTeXDownload |
| 44 | Variational Inference for Adaptor Grammars. Shay B. Cohen, David M. Blei, Noah A. Smith. HLT-NAACL 2010, 564-572. Web SearchBibTeXDownload |
| 43 | A Language-based Approach to Measuring Scholarly Impact. Sean Gerrish, David M. Blei. ICML 2010, 375-382. Web SearchBibTeXDownload |
| 42 | The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei. ICML 2010, 1151-1158. Web SearchBibTeXDownload |
| 41 | Distance dependent Chinese restaurant processes. David M. Blei, Peter Frazier. ICML 2010, 87-94. Web SearchBibTeXDownload |
| 40 | Bayesian Nonparametric Matrix Factorization for Recorded Music. Matthew D. Hoffman, David M. Blei, Perry R. Cook. ICML 2010, 439-446. Web SearchBibTeXDownload |
| 39 | The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies. David M. Blei, Thomas L. Griffiths, Michael I. Jordan. J. ACM (57) (2010). Web SearchBibTeXDownload |
| 38 | Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net. Alexander Lorbert, David Eis, Victoria Kostina, David M. Blei, Peter J. Ramadge. Journal of Machine Learning Research - Proceedings Track (9): 477-484 (2010). Web SearchBibTeXDownload |
| 37 | Dirichlet Process Mixtures of Generalized Linear Models. Lauren Hannah, David M. Blei, Warren B. Powell. Journal of Machine Learning Research - Proceedings Track (9): 313-320 (2010). Web SearchBibTeXDownload |
| 36 | Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable. Lauren Hannah, Warren B. Powell, David M. Blei. NIPS 2010, 820-828. Web SearchBibTeXDownload |
| 35 | Online Learning for Latent Dirichlet Allocation. Matthew D. Hoffman, David M. Blei, Francis R. Bach. NIPS 2010, 856-864. Web SearchBibTeXDownload |
| 2009 |
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| 34 | Simultaneous image classification and annotation. Chong Wang, David M. Blei, Fei-Fei Li. CVPR 2009, 1903-1910. Web SearchBibTeXDownload |
| 33 | Easy As CBA: A Simple Probabilistic Model for Tagging Music. Matthew D. Hoffman, David M. Blei, Perry R. Cook. ISMIR 2009, 369-374. Web SearchBibTeXDownload |
| 32 | Relational Topic Models for Document Networks. Jonathan Chang, David M. Blei. Journal of Machine Learning Research - Proceedings Track (5): 81-88 (2009). Web SearchBibTeXDownload |
| 31 | Markov Topic Models. Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei. Journal of Machine Learning Research - Proceedings Track (5): 583-590 (2009). Web SearchBibTeXDownload |
| 30 | Connections between the lines: augmenting social networks with text. Jonathan Chang, Jordan L. Boyd-Graber, David M. Blei. KDD 2009, 169-178. Web SearchBibTeXDownload |
| 29 | Variational Inference for the Nested Chinese Restaurant Process. Chong Wang, David M. Blei. NIPS 2009, 1990-1998. Web SearchBibTeXDownload |
| 28 | Reading Tea Leaves: How Humans Interpret Topic Models. Jonathan Chang, Jordan L. Boyd-Graber, Sean Gerrish, Chong Wang, David M. Blei. NIPS 2009, 288-296. Web SearchBibTeXDownload |
| 27 | Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process. Chong Wang, David M. Blei. NIPS 2009, 1982-1989. Web SearchBibTeXDownload |
| 26 | A Bayesian Analysis of Dynamics in Free Recall. Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman. NIPS 2009, 1714-1722. Web SearchBibTeXDownload |
| 25 | Multilingual Topic Models for Unaligned Text. Jordan L. Boyd-Graber, David M. Blei. UAI 2009, 75-82. Web SearchBibTeXDownload |
| 2008 |
|---|
| 24 | Content-Based Musical Similarity Computation using the Hierarchical Dirichlet Process. Matthew D. Hoffman, David M. Blei, Perry R. Cook. ISMIR 2008, 349-354. Web SearchBibTeXDownload |
| 23 | Mixed Membership Stochastic Blockmodels. Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing. NIPS 2008, 33-40. Web SearchBibTeXDownload |
| 22 | Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation. Indraneel Mukherjee, David M. Blei. NIPS 2008, 1129-1136. Web SearchBibTeXDownload |
| 21 | Syntactic Topic Models. Jordan L. Boyd-Graber, David M. Blei. NIPS 2008, 185-192. Web SearchBibTeXDownload |
| 20 | Continuous Time Dynamic Topic Models. Chong Wang, David M. Blei, David Heckerman. UAI 2008, 579-586. Web SearchBibTeXDownload |
| 2007 |
|---|
| 19 | A Topic Model for Word Sense Disambiguation. Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu. EMNLP-CoNLL 2007, 1024-1033. Web SearchBibTeXDownload |
| 18 | A Computational Approach to Style in American Poetry. David M. Kaplan, David M. Blei. ICDM 2007, 553-558. Web SearchBibTeXDownload |
| 17 | Hierarchical maximum entropy density estimation. Miroslav Dudík, David M. Blei, Robert E. Schapire. ICML 2007, 249-256. Web SearchBibTeXDownload |
| 16 | Supervised Topic Models. David M. Blei, Jon D. McAuliffe. NIPS 2007. Web SearchBibTeXDownload |
| 15 | Nonparametric Bayes Pachinko Allocation. Wei Li, David M. Blei, Andrew McCallum. UAI 2007, 243-250. Web SearchBibTeXDownload |
| 2006 |
|---|
| 14 | Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. David M. Blei, K. Franks, Michael I. Jordan, I. Saira Mian. BMC Bioinformatics (7): 250 (2006). Web SearchBibTeXDownload |
| 13 | Dynamic topic models. David M. Blei, John D. Lafferty. ICML 2006, 113-120. Web SearchBibTeXDownload |
| 12 | Nonparametric empirical Bayes for the Dirichlet process mixture model. Jon D. McAuliffe, David M. Blei, Michael I. Jordan. Statistics and Computing (16): 5-14 (2006). Web SearchBibTeXDownload |
| 2005 |
|---|
| 11 | Correlated Topic Models. David M. Blei, John D. Lafferty. NIPS 2005. Web SearchBibTeXDownload |
| 2004 |
|---|
| 10 | Variational methods for the Dirichlet process. David M. Blei, Michael I. Jordan. ICML 2004. Web SearchBibTeXDownload |
| 9 | Integrating Topics and Syntax. Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum. NIPS 2004. Web SearchBibTeXDownload |
| 8 | Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei. NIPS 2004. Web SearchBibTeXDownload |
| 2003 |
|---|
| 7 | Matching Words and Pictures. Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan. Journal of Machine Learning Research (3): 1107-1135 (2003). Web SearchBibTeXDownload |
| 6 | Latent Dirichlet Allocation. David M. Blei, Andrew Y. Ng, Michael I. Jordan. Journal of Machine Learning Research (3): 993-1022 (2003). Web SearchBibTeXDownload |
| 5 | Hierarchical Topic Models and the Nested Chinese Restaurant Process. David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum. NIPS 2003. Web SearchBibTeXDownload |
| 4 | Modeling annotated data. David M. Blei, Michael I. Jordan. SIGIR 2003, 127-134. Web SearchBibTeXDownload |
| 2002 |
|---|
| 3 | Learning with Scope, with Application to Information Extraction and Classification. David M. Blei, J. Andrew Bagnell, Andrew McCallum. UAI 2002, 53-60. Web SearchBibTeXDownload |
| 2001 |
|---|
| 2 | Latent Dirichlet Allocation. David M. Blei, Andrew Y. Ng, Michael I. Jordan. NIPS 2001, 601-608. Web SearchBibTeXDownload |
| 1 | Topic Segmentation with an Aspect Hidden Markov Model. David M. Blei, Pedro J. Moreno. SIGIR 2001, 343-348. Web SearchBibTeXDownload |
