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David Meir Blei - Publications

Affiliations: 
2004 University of California, Berkeley, Berkeley, CA, United States 
 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/
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56 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
2020 Ruiz FJR, Athey S, Blei DM. SHOPPER: A probabilistic model of consumer choice with substitutes and complements The Annals of Applied Statistics. 14: 1-27. DOI: 10.1214/19-Aoas1265  0.326
2020 Dieng AB, Ruiz FJR, Blei DM. Topic Modeling in Embedding Spaces Transactions of the Association For Computational Linguistics. 8: 439-453. DOI: 10.1162/Tacl_A_00325  0.747
2018 Xiao C, Ma T, Dieng AB, Blei DM, Wang F. Readmission prediction via deep contextual embedding of clinical concepts. Plos One. 13: e0195024. PMID 29630604 DOI: 10.1371/Journal.Pone.0195024  0.721
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  0.657
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  0.726
2018 Wang C, Blei DM. A General Method for Robust Bayesian Modeling Bayesian Analysis. 13: 1163-1191. DOI: 10.1214/17-Ba1090  0.347
2018 Blei DM. Technical perspective: Expressive probabilistic models and scalable method of moments Communications of the Acm. 61: 84-84. DOI: 10.1145/3186260  0.318
2017 Linderman SW, Blei DM. Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks” Journal of the American Statistical Association. 112: 1543-1547. DOI: 10.1080/01621459.2017.1388244  0.31
2017 Blei DM, Kucukelbir A, McAuliffe JD. Variational Inference: A Review for Statisticians Journal of the American Statistical Association. 112: 859-877. DOI: 10.1080/01621459.2017.1285773  0.67
2017 Ranganath R, Blei DM. Correlated Random Measures Journal of the American Statistical Association. 113: 417-430. DOI: 10.1080/01621459.2016.1260468  0.356
2016 Gopalan P, Hao W, Blei DM, Storey JD. Scaling probabilistic models of genetic variation to millions of humans. Nature Genetics. PMID 27819665 DOI: 10.1038/Ng.3710  0.751
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  0.318
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  0.351
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  0.74
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  0.667
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  0.571
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  0.385
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  0.637
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  0.719
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  0.597
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  0.684
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  0.743
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  0.382
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  0.359
2012 Paisley J, Wang C, Blei DM. The Discrete Infinite Logistic Normal Distribution Bayesian Analysis. 7: 997-1034. DOI: 10.1214/12-Ba734  0.71
2012 Chang J, Blei DM. Hierarchical relational models for document networks Annals of Applied Statistics. 6: 124-150. DOI: 10.1214/09-Aoas309  0.384
2012 Blei DM. Probabilistic topic models Communications of the Acm. 55: 77-84. DOI: 10.1145/2133806.2133826  0.39
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  0.368
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.  0.724
2012 Gerrish SM, Blei DM. How they vote: Issue-adjusted models of legislative behavior Advances in Neural Information Processing Systems. 4: 2753-2761.  0.744
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.  0.422
2012 Paisley J, Blei DM, Jordan MI. Stick-breaking beta processes and the poisson process Journal of Machine Learning Research. 22: 850-858.  0.356
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  0.599
2011 Gerrish SM, Blei DM. Predicting legislative roll calls from text Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 489-496.  0.735
2010 Blei D, Carin L, Dunson D. Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis. Ieee Signal Processing Magazine. 27: 55-65. PMID 25104898 DOI: 10.1109/Msp.2010.938079  0.405
2010 Gershman SJ, Blei DM, Niv Y. Context, learning, and extinction. Psychological Review. 117: 197-209. PMID 20063968 DOI: 10.1037/A0017808  0.32
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  0.542
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.  0.504
2010 Gerrish SM, Blei DM. A language-based approach to measuring scholarly impact Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 375-382.  0.728
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  0.583
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.  0.64
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.  0.478
2009 Blei DM, McAuliffe JD. Supervised topic models Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.693
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.  0.669
2007 Blei DM, Lafferty JD. Correction: A correlated topic model of Science The Annals of Applied Statistics. 1: 634-634. DOI: 10.1214/07-Aoas136  0.317
2007 Blei DM, Lafferty JD. A correlated topic model of Science The Annals of Applied Statistics. 1: 17-35. DOI: 10.1214/07-Aoas114  0.405
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  0.565
2006 Blei DM, Jordan MI. Variational inference for Dirichlet process mixtures Bayesian Analysis. 1: 121-144. DOI: 10.1214/06-Ba104  0.501
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  0.505
2006 Blei DM, Lafferty JD. Dynamic topic models Acm International Conference Proceeding Series. 148: 113-120. DOI: 10.1145/1143844.1143859  0.521
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  0.715
2005 Blei DM, Lafferty JD. Correlated topic models Advances in Neural Information Processing Systems. 147-154.  0.542
2004 Blei DM, Jordan MI. Variational methods for the Dirichlet process Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 89-96.  0.383
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  0.53
2003 Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation Journal of Machine Learning Research. 3: 993-1022. DOI: 10.1016/B978-0-12-411519-4.00006-9  0.693
2003 Blei DM, Jordan MI. Modeling Annotated Data Sigir Forum (Acm Special Interest Group On Information Retrieval). 127-134.  0.482
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