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"Cross-listing: Neurotree
Parents
Sign in to add mentor| Michael I. Jordan | grad student | 2004 | UC Berkeley | |
| (Probabilistic models of text and images.) | ||||
| John Lafferty | post-doc | Carnegie Mellon (Neurotree) | ||
Children
Sign in to add trainee| Jordan Boyd-Graber | grad student | 2010 | Princeton (Neurotree) |
| Sean M. Gerrish | grad student | 2013 | Princeton (Neurotree) |
| Prem K. Gopalan | grad student | 2015 | Princeton (Neurotree) |
| Jaan Altosaar | grad student | 2020 | Columbia |
| Adji Bousso Dieng | grad student | 2020 | Columbia |
| Jeremy R. Manning | post-doc | 2011-2015 | Princeton (Neurotree) |
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Publications
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| Zhang L, Richter LR, Wang Y, et al. (2024) Causal fairness assessment of treatment allocation with electronic health records. Journal of Biomedical Informatics. 155: 104656 |
| 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 |