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 WangAppleVerified 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 GopalanChief Technology Officer, The Voleon GroupVerified email at cs.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
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Allison J.B. ChaneyDuke UniversityVerified email at duke.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
Joshua B. TenenbaumMITVerified email at mit.edu
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
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
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyVerified email at cs.hacettepe.edu.tr

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 Journal of machine Learning research 3 (Jan), 993-1022, 2003	46498	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	6557	2012
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5046	2004
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	4514	2006
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	3955	2017
Reading tea leaves: How humans interpret topic models J Chang, S Gerrish, C Wang, J Boyd-Graber, D Blei Advances in neural information processing systems 22, 2009	2800	2009
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research, 2013	2632	2013
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2431	2008
Supervised topic models J Mcauliffe, D Blei Advances in neural information processing systems 20, 2007	2118	2007
Matching words and pictures K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan The Journal of Machine Learning Research 3, 1107-1135, 2003	2051	2003
A correlated topic model of Science DM Blei, JD Lafferty	2048*	2007
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2042	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	1941	2011
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan	1724	2006
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1517	2003
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1429	2003
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1208	2006
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	1113	2014
Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding P DiMaggio, M Nag, D Blei Poetics 41 (6), 570-606, 2013	984	2013
Relational topic models for document networks J Chang, D Blei Artificial intelligence and statistics, 81-88, 2009	960*	2009

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