David Blei

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Chong WangHead of AML Research at ByteDanceVerified email at cs.princeton.edu
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
John PaisleyColumbia UniversityVerified email at columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Jordan Boyd-GraberAssociate Professor, University of MarylandVerified email at umiacs.umd.edu
Prem GopalanSenior Technical Manager, The Voleon GroupVerified email at cs.princeton.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Jonathan ChangFacebookVerified email at fb.com
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerified email at stat.berkeley.edu
David MimnoAssociate Professor, Cornell UniversityVerified email at cornell.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Allison J.B. ChaneyDuke UniversityVerified email at duke.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityVerified email at princeton.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityVerified email at cornell.edu
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerified email at cs.hacettepe.edu.tr
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignVerified email at uiuc.edu

David Blei

Professor of Statistics and Computer Science, Columbia University

Verified email at columbia.edu - Homepage

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan the Journal of machine Learning research 3, 993-1022, 2003	37128	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	6484*	2012
Hierarchical dirichlet processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the american statistical association 101 (476), 1566-1581, 2006	4512*	2006
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	2799	2006
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research, 2008	2098	2008
Reading tea leaves: How humans interpret topic models J Chang, J Boyd-Graber, C Wang, S Gerrish, DM Blei Neural information processing systems 22, 288-296, 2009	2091	2009
Matching words and pictures K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan Test accounts, 2003	2024	2003
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	2016	2017
Stochastic variational inference. MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research 14 (5), 2013	1926	2013
Supervised topic models DM Blei, JD McAuliffe arXiv preprint arXiv:1003.0783, 2010	1801	2010
Online learning for latent dirichlet allocation M Hoffman, FR Bach, DM Blei advances in neural information processing systems, 856-864, 2010	1665	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	1610	2011
A correlated topic model of science DM Blei, JD Lafferty The annals of applied statistics 1 (1), 17-35, 2007	1586*	2007
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan Bayesian analysis 1 (1), 121-143, 2006	1457	2006
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1427	2003
Hierarchical topic models and the nested Chinese restaurant process. DM Blei, TL Griffiths, MI Jordan, JB Tenenbaum NIPS 16, 2003	1245	2003
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1066	2006
Topic models DM Blei, JD Lafferty Text mining: classification, clustering, and applications 10 (71), 34, 2009	1051	2009
Relational topic models for document networks J Chang, D Blei Artificial intelligence and statistics, 81-88, 2009	853*	2009
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	788	2014

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