David Blei

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Chong WangAppleAdresse e-mail validée de cs.princeton.edu
Matthew D. HoffmanResearch Scientist, Google ResearchAdresse e-mail validée de google.com
John PaisleyColumbia UniversityAdresse e-mail validée de columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
Jordan Boyd-GraberAssociate Professor, University of MarylandAdresse e-mail validée de umiacs.umd.edu
Prem GopalanChief Technology Officer, The Voleon GroupAdresse e-mail validée de cs.princeton.edu
Jonathan ChangFacebookAdresse e-mail validée de fb.com
Samuel GershmanProfessor, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyAdresse e-mail validée de stat.berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityAdresse e-mail validée de princeton.edu
Allison J.B. ChaneyDuke UniversityAdresse e-mail validée de duke.edu
David MimnoAssociate Professor, Cornell UniversityAdresse e-mail validée de cornell.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindAdresse e-mail validée de stats.ox.ac.uk
Joshua B. TenenbaumMITAdresse e-mail validée de mit.edu
Francis BachInria - Ecole Normale SupérieureAdresse e-mail validée de inria.fr
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityAdresse e-mail validée de princeton.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityAdresse e-mail validée de cornell.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinAdresse e-mail validée de mccombs.utexas.edu
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyAdresse e-mail validée de cs.hacettepe.edu.tr

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David Blei

Professor of Statistics and Computer Science, Columbia University

Adresse e-mail validée de columbia.edu - Page d'accueil

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	47327	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	6680	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	5102	2004
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	4601	2006
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	4125	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	2864	2009
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research, 2013	2692	2013
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2463	2008
Supervised topic models J Mcauliffe, D Blei Advances in neural information processing systems 20, 2007	2152	2007
A correlated topic model of Science DM Blei, JD Lafferty	2089*	2007
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2074	2010
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	2057	2003
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	1961	2011
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan	1746	2006
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1524	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	1439	2003
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1217	2006
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	1151	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	1007	2013
Relational topic models for document networks J Chang, D Blei Artificial intelligence and statistics, 81-88, 2009	971*	2009

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