David Meir Blei - Publications

Affiliations: 
2004 University of California, Berkeley, Berkeley, CA 
 2006-2014 Princeton University, Princeton, NJ 
 2014- Computer Science Columbia University, New York, NY 
Area:
Statistical Machine Learning, Topic Models, Scalable Bayesian Computation
Website:
http://www.cs.columbia.edu/~blei/

97 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Gerow A, Hu Y, Boyd-Graber J, Blei DM, Evans JA. Measuring discursive influence across scholarship. Proceedings of the National Academy of Sciences of the United States of America. PMID 29531061 DOI: 10.1073/pnas.1719792115  1
2018 Manning JR, Zhu X, Willke TL, Ranganath R, Stachenfeld K, Hasson U, Blei DM, Norman KA. A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. Neuroimage. PMID 29448074 DOI: 10.1016/j.neuroimage.2018.01.071  0.68
2015 Polatkan G, Zhou M, Carin L, Blei D, Daubechies I. A Bayesian Nonparametric Approach to Image Super-Resolution. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 346-58. PMID 26353246 DOI: 10.1109/TPAMI.2014.2321404  1
2015 Gershman SJ, Frazier PI, Blei DM. Distance Dependent Infinite Latent Feature Models. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 334-45. PMID 26353245 DOI: 10.1109/TPAMI.2014.2321387  0.6
2015 Paisley J, Wang C, Blei DM, Jordan MI. Nested Hierarchical Dirichlet Processes. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 256-70. PMID 26353240 DOI: 10.1109/TPAMI.2014.2318728  1
2015 Mimno D, Blei DM, Engelhardt BE. Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure. Proceedings of the National Academy of Sciences of the United States of America. 112: E3441-50. PMID 26071445 DOI: 10.1073/pnas.1412301112  0.4
2015 Perotte A, Ranganath R, Hirsch JS, Blei D, Elhadad N. Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. Journal of the American Medical Informatics Association : Jamia. 22: 872-80. PMID 25896647 DOI: 10.1093/jamia/ocv024  1
2015 Chaney AJB, Blei DM, Eliassi-Rad T. A probabilistic model for using social networks in personalized item recommendation Recsys 2015 - Proceedings of the 9th Acm Conference On Recommender Systems. 43-50. DOI: 10.1145/2792838.2800193  1
2015 Schein A, Paisley J, Blei DM, Wallach H. Bayesian Poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 1045-1054. DOI: 10.1145/2783258.2783414  1
2015 Gershman SJ, Frazier PI, Blei DM. Distance dependent infinite latent feature models Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 334-345. DOI: 10.1109/TPAMI.2014.2321387  1
2015 Paisley J, Wang C, Blei DM, Jordan MI. Nested hierarchical dirichlet processes Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 256-270. DOI: 10.1109/TPAMI.2014.2318728  1
2015 Mimno D, Blei DM, Engelhardt BE. Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure Proceedings of the National Academy of Sciences of the United States of America. 112: E3441-E3450. DOI: 10.1073/pnas.1412301112  1
2015 Kucukelbir A, Blei DM. Population empirical Bayes Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 444-453.  1
2015 Hoffman MD, Blei DM. Structured stochastic variational inference Journal of Machine Learning Research. 38: 361-369.  1
2015 Ranganath R, Perotte A, Elhadad N, Blei DM. The survival filter: Joint survival analysis with a latent time series Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 742-751.  1
2015 Gopalan P, Hofman JM, Blei DM. Scalable recommendation with hierarchical Poisson factorization Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 326-335.  1
2014 Manning JR, Ranganath R, Norman KA, Blei DM. Topographic factor analysis: a Bayesian model for inferring brain networks from neural data. Plos One. 9: e94914. PMID 24804795 DOI: 10.1371/journal.pone.0094914  1
2014 Gershman SJ, Blei DM, Norman KA, Sederberg PB. Decomposing spatiotemporal brain patterns into topographic latent sources. Neuroimage. 98: 91-102. PMID 24791745 DOI: 10.1016/j.neuroimage.2014.04.055  1
2014 Blei DM. Build, compute, critique, repeat: Data analysis with latent variable models Annual Review of Statistics and Its Application. 1: 203-232. DOI: 10.1146/annurev-statistics-022513-115657  1
2014 Manning JR, Ranganath R, Keung W, Turk-Browne NB, Cohen JD, Norman KA, Blei DM. Hierarchical topographic factor analysis Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014. DOI: 10.1109/PRNI.2014.6858530  1
2014 Gopalan P, Charlin L, Blei DM. Content-based recommendations with Poisson factorization Advances in Neural Information Processing Systems. 4: 3176-3184.  1
2014 Rabinovich M, Blei DM. The inverse regression topic model 31st International Conference On Machine Learning, Icml 2014. 1: 346-359.  1
2014 Houlsby NMT, Blei DM. A filtering approach to stochastic variational inference Advances in Neural Information Processing Systems. 3: 2114-2122.  1
2014 Gopalan P, Ruiz FJR, Ranganath R, Blei DM. Bayesian nonparametric poisson factorization for recommendation systems Journal of Machine Learning Research. 33: 275-283.  1
2014 Ranganath R, Gerrish S, Blei DM. Black box variational inference Journal of Machine Learning Research. 33: 814-822.  1
2013 Gopalan PK, Blei DM. Efficient discovery of overlapping communities in massive networks. Proceedings of the National Academy of Sciences of the United States of America. 110: 14534-9. PMID 23950224 DOI: 10.1073/pnas.1221839110  1
2013 Chen B, Polatkan G, Sapiro G, Blei D, Dunson D, Carin L. Deep learning with hierarchical convolutional factor analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1887-901. PMID 23787342 DOI: 10.1109/TPAMI.2013.19  1
2013 Blei DM. Comment Journal of the American Statistical Association. 108: 771-772. DOI: 10.1080/01621459.2013.827983  1
2013 DiMaggio P, Nag M, Blei D. Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding Poetics. 41: 570-606. DOI: 10.1016/j.poetic.2013.08.004  1
2013 Hoffman MD, Blei DM, Wang C, Paisley J. Stochastic variational inference Journal of Machine Learning Research. 14: 1303-1347.  1
2013 Wang C, Blei DM. Variational inference in nonconjugate models Journal of Machine Learning Research. 14: 1005-1031.  1
2013 Ranganath R, Wang C, Blei DM, Xing EP. An adaptive learning rate for stochastic variational inference 30th International Conference On Machine Learning, Icml 2013. 957-965.  1
2013 Gopalan P, Wang C, Blei DM. Modeling overlapping communities with node popularities Advances in Neural Information Processing Systems 1
2013 Kim DI, Gopalan P, Blei DM, Sudderth EB. Efficient online inference for bayesian nonparametric relational models Advances in Neural Information Processing Systems 1
2012 Chang J, Blei DM. Hierarchical relational models for document networks Annals of Applied Statistics. 6: 124-150. DOI: 10.1214/09-AOAS309  1
2012 Blei DM. Probabilistic topic models Communications of the Acm. 55: 77-84. DOI: 10.1145/2133806.2133826  1
2012 Gershman SJ, Blei DM. A tutorial on Bayesian nonparametric models Journal of Mathematical Psychology. 56: 1-12. DOI: 10.1016/j.jmp.2011.08.004  1
2012 Gopalan P, Mimno D, Gerrish SM, Freedman MJ, Blei DM. Scalable inference of overlapping communities Advances in Neural Information Processing Systems. 3: 2249-2257.  1
2012 Wang C, Blei DM. Truncation-free stochastic variational inference for Bayesian nonparametric models Advances in Neural Information Processing Systems. 1: 413-421.  1
2012 Gerrish SM, Blei DM. How they vote: Issue-adjusted models of legislative behavior Advances in Neural Information Processing Systems. 4: 2753-2761.  1
2012 Chaney AJB, Blei DM. Visualizing topic models Icwsm 2012 - Proceedings of the 6th International Aaai Conference On Weblogs and Social Media. 419-422.  1
2012 Mimno D, Hoffman MD, Blei DM. Sparse stochastic inference for latent Dirichlet allocation Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1599-1606.  1
2012 Paisley J, Blei DM, Jordan MI. Variational Bayesian inference with stochastic search Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1367-1374.  1
2012 Gershman SJ, Hoffman MD, Blei DM. Nonparametric variational inference Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 663-670.  1
2012 Paisley J, Blei DM, Jordan MI. Stick-breaking beta processes and the poisson process Journal of Machine Learning Research. 22: 850-858.  1
2011 Gershman SJ, Blei DM, Pereira F, Norman KA. A topographic latent source model for fMRI data. Neuroimage. 57: 89-100. PMID 21549204 DOI: 10.1016/j.neuroimage.2011.04.042  1
2011 Wang C, Blei DM. Collaborative topic modeling for recommending scientific articles Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 448-456. DOI: 10.1145/2020408.2020480  1
2011 Williamson S, Wang C, Heller KA, Blei DM. Nonparametric mixed membership modelling using the IBP compound dirichlet process Mixtures: Estimation and Applications. 145-160. DOI: 10.1002/9781119995678.ch7  1
2011 Ghosh S, Ungureanu AB, Sudderth EB, Blei DM. Spatial distance dependent Chinese restaurant processes for image segmentation Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Wang C, Paisley J, Blei DM. Online variational inference for the hierarchical Dirichlet process Journal of Machine Learning Research. 15: 752-760.  1
2011 Gerrish SM, Blei DM. Predicting legislative roll calls from text Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 489-496.  1
2011 Blei DM, Frazier PI. Distance dependent Chinese restaurant processes Journal of Machine Learning Research. 12: 2461-2488.  1
2011 Hannah LA, Blei DM, Powell WB. Dirichlet process mixtures of generalized linear models Journal of Machine Learning Research. 12: 1923-1953.  1
2010 Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/a0017808  1
2010 Blei DM, Griffiths TL, Jordan MI. The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies Journal of the Acm. 57. DOI: 10.1145/1667053.1667056  1
2010 Li LJ, Wang C, Lim Y, Blei DM, Fei-Fei L. Building and using a Semantivisual image hierarchy Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3336-3343. DOI: 10.1109/CVPR.2010.5540027  1
2010 Hoffman MD, Blei DM, Bach F. Online learning for Latent Dirichlet Allocation Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Lorbert A, Eis D, Kostina V, Blei DM, Ramadge PJ. Exploiting covariate similarity in sparse regression via the Pairwise Elastic Net Journal of Machine Learning Research. 9: 477-484.  1
2010 Hannah LA, Powell WB, Blei DM. Nonparametric density estimation for stochastic optimization with an observable state variable Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Cohen SB, Blei DM, Smith NA. Variational inference for adaptor grammars Naacl Hlt 2010 - Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 564-572.  1
2010 Hoffman MD, Blei DM, Cook PR. Bayesian nonparametric matrix factorization for recorded music Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 439-446.  1
2010 Williamson S, Wang C, Heller KA, Blei DM. The IBP compound Dirichlet process and its application to focused topic modeling Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 1151-1158.  1
2010 Gerrish SM, Blei DM. A language-based approach to measuring scholarly impact Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 375-382.  1
2009 Chang J, Boyd-Graber J, Blei DM. Connections between the lines: Augmenting social networks with text Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 169-177. DOI: 10.1145/1557019.1557044  1
2009 Wang C, Blei D, Fei-Fei L. Simultaneous image classification and annotation 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 1903-1910. DOI: 10.1109/CVPRW.2009.5206800  1
2009 Chang J, Boyd-Graber J, Gerrish S, Wang C, Blei DM. Reading tea leaves: How humans interpret topic models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 288-296.  1
2009 Hoffman MD, Blei DM, Cook PR. Easy as CBA: A simple probabilistic model for tagging music Proceedings of the 10th International Society For Music Information Retrieval Conference, Ismir 2009. 369-374.  1
2009 Socher R, Gershman SJ, Perotte AJ, Sederberg PB, Blei DM, Norman KA. A Bayesian analysis of dynamics in free recall Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1714-1722.  1
2009 Chang J, Blei DM. Relational topic models for document networks Journal of Machine Learning Research. 5: 81-88.  1
2009 Hoffman MD, Blei DM, Cook PR. Finding latent sources in recorded music with a shift-invariant HDP Proceedings of the 12th International Conference On Digital Audio Effects, Dafx 2009. 438-444.  1
2009 Wang C, Blei DM. Decoupling sparsity and smoothness in the discrete hierarchical dirichlet process Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1982-1989.  1
2009 Blei DM, McAuliffe JD. Supervised topic models Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Wang C, Blei DM. Variational inference for the nested Chinese restaurant process Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1990-1998.  1
2009 Boyd-Graber J, Blei DM. Multilingual topic models for unaligned text Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 75-82.  1
2009 Mukherjee I, Blei DM. Relative performance guarantees for approximate inference in latent Dirichlet allocation Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1129-1136.  1
2009 Airoldi EM, Blei DM, Fienberg SE, Xing EP. Mixed membership stochastic blockmodels Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 34-41.  1
2009 Hoffman MD, Cook PR, Blei DM. Bayesian spectral matching: Turning Young MC into MC Hammer via MCMC sampling Proceedings of the 2009 International Computer Music Conference, Icmc 2009. 167-170.  1
2008 Airoldi EM, Blei DM, Fienberg SE, Xing EP. Mixed Membership Stochastic Blockmodels. Journal of Machine Learning Research : Jmlr. 9: 1981-2014. PMID 21701698  1
2008 Hoffman MD, Cook PR, Blei DM. Data-driven recomposition using the hierarchical dirichlet process hidden Markov model International Computer Music Conference, Icmc 2008 1
2007 Dudik M, Blei DM, Schapire RE. Hierarchical maximum entropy density estimation Acm International Conference Proceeding Series. 227: 249-256. DOI: 10.1145/1273496.1273528  1
2007 Kaplan DM, Blei DM. A computational approach to style in American poetry Proceedings - Ieee International Conference On Data Mining, Icdm. 553-558. DOI: 10.1109/ICDM.2007.76  1
2007 Blei DM, Fienberg SE, McCallum A, Shalizi CR, Handcock MS. Panel discussion Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4503: 186-194.  1
2007 Airoldi EM, Blei DM, Fienberg SE, Xing EP. Combining stochastic block models and mixed membership for statistical network analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4503: 57-74.  1
2006 Blei DM, Franks K, Jordan MI, Mian IS. Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. Bmc Bioinformatics. 7: 250. PMID 16681860 DOI: 10.1186/1471-2105-7-250  1
2006 Blei DM, Jordan MI. Variational inference for Dirichlet process mixtures Bayesian Analysis. 1: 121-144. DOI: 10.1214/06-BA104  1
2006 Teh YW, Jordan MI, Beal MJ, Blei DM. Hierarchical Dirichlet processes Journal of the American Statistical Association. 101: 1566-1581. DOI: 10.1198/016214506000000302  1
2006 Blei DM, Lafferty JD. Dynamic topic models Acm International Conference Proceeding Series. 148: 113-120. DOI: 10.1145/1143844.1143859  1
2006 McAuliffe JD, Blei DM, Jordan MI. Nonparametric empirical Bayes for the Dirichlet process mixture model Statistics and Computing. 16: 5-14. DOI: 10.1007/s11222-006-5196-2  1
2005 Blei DM, Lafferty JD. Correlated topic models Advances in Neural Information Processing Systems. 147-154.  1
2005 Teh YW, Jordan MI, Beal MJ, Blei DM. Sharing clusters among related groups: Hierarchical dirichlet processes Advances in Neural Information Processing Systems 1
2005 Griffiths TL, Steyvers M, Blei DM, Tenenbaum JB. Integrating topics and syntax Advances in Neural Information Processing Systems 1
2004 Blei DM, Jordan MI. Variational methods for the Dirichlet process Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 89-96.  1
2004 Blei DM, Griffiths TL, Jordan MI, Tenenbaum JB. Hierarchical topic models and the nested Chinese restaurant process Advances in Neural Information Processing Systems 1
2003 Barnard K, Duygulu P, Forsyth D, De Freitas N, Blei DM, Jordan MI. Matching Words and Pictures Journal of Machine Learning Research. 3: 1107-1135. DOI: 10.1162/153244303322533214  1
2003 Blei DM, Jordan MI. Modeling Annotated Data Sigir Forum (Acm Special Interest Group On Information Retrieval). 127-134.  1
2003 Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation Journal of Machine Learning Research. 3: 993-1022.  1
2001 Blei DM, Moreno PJ. Topic segmentation with an aspect hidden Markov model Sigir Forum (Acm Special Interest Group On Information Retrieval). 343-348.  1
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