David Blei

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyE-mail confirmado em cs.berkeley.edu
Chong WangAppleE-mail confirmado em cs.princeton.edu
Matthew D. HoffmanResearch Scientist, Google ResearchE-mail confirmado em google.com
John PaisleyColumbia UniversityE-mail confirmado em columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityE-mail confirmado em fas.harvard.edu
Jordan Boyd-GraberAssociate Professor, University of MarylandE-mail confirmado em umiacs.umd.edu
Jonathan ChangFacebookE-mail confirmado em fb.com
Prem GopalanCTO, The Voleon GroupE-mail confirmado em cs.princeton.edu
Samuel GershmanProfessor, Harvard UniversityE-mail confirmado em fas.harvard.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyE-mail confirmado em stat.berkeley.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityE-mail confirmado em princeton.edu
Joshua B. TenenbaumMITE-mail confirmado em mit.edu
Allison J.B. ChaneyDuke UniversityE-mail confirmado em duke.edu
David MimnoAssociate Professor, Cornell UniversityE-mail confirmado em cornell.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindE-mail confirmado em stats.ox.ac.uk
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityE-mail confirmado em princeton.edu
Francis BachInria - Ecole Normale SupérieureE-mail confirmado em inria.fr
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityE-mail confirmado em cornell.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinE-mail confirmado em mccombs.utexas.edu
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyE-mail confirmado em cs.hacettepe.edu.tr

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David Blei

Professor of Statistics and Computer Science, Columbia University

E-mail confirmado em columbia.edu - Página inicial

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	52617	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	7567	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	5332	2004
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	5144	2017
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	3696	2006
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	3212	2009
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research, 2013	2978	2013
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2592	2008
A correlated topic model of Science DM Blei, JD Lafferty	2281*	2007
Supervised topic models J Mcauliffe, D Blei Advances in neural information processing systems 20, 2007	2259	2007
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 2010	2223	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	2122	2003
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	2084	2011
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan	1855	2006
Topic models DM Blei, JD Laﬀerty Text mining, 101-124, 2009	1597	2009
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1570	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	1525	2003
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1340	2006
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	1301	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	1235	2013

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