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 ComputationWebsite:
http://www.cs.columbia.edu/~blei/Google:
"David Blei"Mean distance: 14.44 (cluster 29) | S | N | B | C | P |
Cross-listing: Computer Science Tree
Parents
Sign in to add mentorMichael I. Jordan | grad student | 2004 | UC Berkeley | |
(Probabilistic models of text and images.) | ||||
John Lafferty | post-doc | Carnegie Mellon |
Children
Sign in to add traineeJordan 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 |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
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 |