David Blei

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Chong WangHead of AML Research at ByteDanceEmail verificata su cs.princeton.edu
Matthew D. HoffmanResearch Scientist, Google ResearchEmail verificata su google.com
John PaisleyColumbia UniversityEmail verificata su columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science, Temple University & PI, Harvard UniversityEmail verificata su fas.harvard.edu
Jordan Boyd-GraberAssociate Professor, University of MarylandEmail verificata su umiacs.umd.edu
Prem GopalanSenior Technical Manager, The Voleon GroupEmail verificata su cs.princeton.edu
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail verificata su princeton.edu
Jonathan ChangFacebookEmail verificata su fb.com
Samuel GershmanAssociate Professor, Harvard UniversityEmail verificata su fas.harvard.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyEmail verificata su stat.berkeley.edu
David MimnoAssociate Professor, Cornell UniversityEmail verificata su cornell.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindEmail verificata su stats.ox.ac.uk
Lawrence CarinProfessor of Electrical and Computer Engineering, Duke UniversityEmail verificata su ece.duke.edu
Allison J.B. ChaneyDuke UniversityEmail verificata su duke.edu
Joshua B. TenenbaumMITEmail verificata su mit.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityEmail verificata su cornell.edu
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityEmail verificata su princeton.edu
Francis BachInria - Ecole Normale SupérieureEmail verificata su inria.fr
Pinar Duygulu SahinProf. , Department of Computer Engineering, Hacettepe University, Ankara, TurkeyEmail verificata su cs.hacettepe.edu.tr

David Blei

Professor of Statistics and Computer Science, Columbia University

Email verificata su columbia.edu - Home page

Machine Learning Statistics Probabilistic topic models Bayesian nonparametrics Approximate posterior inference


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	35538	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	6201*	2012
Hierarchical dirichlet processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the american statistical association 101 (476), 1566-1581, 2006	4437	2006
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	2712	2006
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research 9 (Sep), 1981-2014, 2008	2031	2008
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, 288-296, 2009	2000	2009
Matching words and pictures K Barnard, P Duygulu, D Forsyth, N Freitas, DM Blei, MI Jordan Journal of machine learning research 3 (Feb), 1107-1135, 2003	1976	2003
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley The Journal of Machine Learning Research 14 (1), 1303-1347, 2013	1858	2013
Supervised topic models J Mcauliffe, D Blei Advances in neural information processing systems 20, 121-128, 2007	1843	2007
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American statistical Association 112 (518), 859-877, 2017	1825	2017
Online learning for latent dirichlet allocation M Hoffman, F Bach, D Blei advances in neural information processing systems 23, 856-864, 2010	1589	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	1549	2011
A correlated topic model of science DM Blei, JD Lafferty The Annals of Applied Statistics 1 (1), 17-35, 2007	1529*	2007
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan Bayesian analysis 1 (1), 121-143, 2006	1415	2006
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1405	2003
Hierarchical topic models and the nested Chinese restaurant process TL Griffiths, MI Jordan, JB Tenenbaum, DM Blei Advances in neural information processing systems, 17-24, 2004	1223	2004
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1040	2006
Topic models DM Blei, JD Lafferty Text mining: classification, clustering, and applications 10 (71), 34, 2009	1014	2009
Relational topic models for document networks J Chang, D Blei Artificial Intelligence and Statistics, 81-88, 2009	819*	2009
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	753	2014

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