David Meir Blei

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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"David Blei"
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SNBCP
Cross-listing: Computer Science Tree

Parents

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Michael I. Jordan grad student 2004 UC Berkeley
 (Probabilistic models of text and images.)
John Lafferty post-doc Carnegie Mellon

Children

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Jordan Boyd-Graber grad student 2010 Princeton
Sean M. Gerrish grad student 2013 Princeton
Prem K. Gopalan grad student 2015 Princeton
Jaan Altosaar grad student 2020 Columbia (Computer Science Tree)
Adji Bousso Dieng grad student 2020 Columbia (Computer Science Tree)
Jeremy R. Manning post-doc 2011-2015 Princeton
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Publications

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Ruiz FJR, Athey S, Blei DM. (2020) SHOPPER: A probabilistic model of consumer choice with substitutes and complements The Annals of Applied Statistics. 14: 1-27
Dieng AB, Ruiz FJR, Blei DM. (2020) Topic Modeling in Embedding Spaces Transactions of the Association For Computational Linguistics. 8: 439-453
Xiao C, Ma T, Dieng AB, et al. (2018) Readmission prediction via deep contextual embedding of clinical concepts. Plos One. 13: e0195024
Gerow A, Hu Y, Boyd-Graber J, et al. (2018) Measuring discursive influence across scholarship. Proceedings of the National Academy of Sciences of the United States of America
Manning JR, Zhu X, Willke TL, et al. (2018) A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. Neuroimage
Wang C, Blei DM. (2018) A General Method for Robust Bayesian Modeling Bayesian Analysis. 13: 1163-1191
Blei DM. (2018) Technical perspective: Expressive probabilistic models and scalable method of moments Communications of the Acm. 61: 84-84
Linderman SW, Blei DM. (2017) Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks” Journal of the American Statistical Association. 112: 1543-1547
Blei DM, Kucukelbir A, McAuliffe JD. (2017) Variational Inference: A Review for Statisticians Journal of the American Statistical Association. 112: 859-877
Ranganath R, Blei DM. (2017) Correlated Random Measures Journal of the American Statistical Association. 113: 417-430
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