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 GershmanProfessor, 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
Allison J.B. ChaneyDuke UniversityEmail verificata su duke.edu
Joshua B. TenenbaumMITEmail verificata su mit.edu
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityEmail verificata su princeton.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityEmail verificata su cornell.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 ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignEmail verificata su uiuc.edu

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 the Journal of machine Learning research 3, 993-1022, 2003	37172	2003
Probabilistic topic models DM Blei Communications of the ACM 55 (4), 77-84, 2012	6491*	2012
Hierarchical dirichlet processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the american statistical association 101 (476), 1566-1581, 2006	4513*	2006
Dynamic topic models DM Blei, JD Lafferty Proceedings of the 23rd international conference on Machine learning, 113-120, 2006	2803	2006
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research, 2008	2099	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	2095	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	2023	2017
Stochastic variational inference. MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research 14 (5), 2013	1929	2013
Supervised topic models DM Blei, JD McAuliffe arXiv preprint arXiv:1003.0783, 2010	1803	2010
Online learning for latent dirichlet allocation M Hoffman, FR Bach, DM Blei advances in neural information processing systems, 856-864, 2010	1669	2010
Collaborative topic modeling for recommending scientific articles C Wang, DM Blei Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	1611	2011
A correlated topic model of science DM Blei, JD Lafferty The annals of applied statistics 1 (1), 17-35, 2007	1588*	2007
Variational inference for Dirichlet process mixtures DM Blei, MI Jordan Bayesian analysis 1 (1), 121-143, 2006	1460	2006
Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	1428	2003
Hierarchical topic models and the nested Chinese restaurant process. DM Blei, TL Griffiths, MI Jordan, JB Tenenbaum NIPS 16, 2003	1238	2003
Correlated topic models D Blei, J Lafferty Advances in neural information processing systems 18, 147, 2006	1067	2006
Topic models DM Blei, JD Lafferty Text mining: classification, clustering, and applications 10 (71), 34, 2009	1050	2009
Relational topic models for document networks J Chang, D Blei Artificial intelligence and statistics, 81-88, 2009	855*	2009
Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014	788	2014

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