Radford Neal

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Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
Ian H. WittenProfessor of Computer Science, University of Waikato, New ZealandAdresse e-mail validée de waikato.ac.nz
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgeAdresse e-mail validée de mrao.cam.ac.uk
Sam Roweis (Memorial)New York UniversityAdresse e-mail validée de buffalo.edu
Richard ZemelProfessor of Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
W.R. PeltierProfessor of Physics, University of TorontoAdresse e-mail validée de atmosp.physics.utoronto.ca
Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoAdresse e-mail validée de psi.toronto.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Jennifer ListgartenProfessor, UC Berkeley EECS and Center for Computational BiologyAdresse e-mail validée de berkeley.edu
Bradley P. CarlinPhaseV TrialsAdresse e-mail validée de counterpointstat.com
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityAdresse e-mail validée de stat.columbia.edu
Alistair MoffatSchool of Computing and Information Systems, The University of MelbourneAdresse e-mail validée de unimelb.edu.au
Susan P HolmesProfessor of Statistics, Stanford UniversityAdresse e-mail validée de stat.stanford.edu
Edward MeedsMicrosoft Research CambridgeAdresse e-mail validée de microsoft.com
Brian WyvillProfessor of Computer Science, University of Victoria, BCAdresse e-mail validée de cs.uvic.ca
Longhai LiUniversity of Saskatchewan, Saskatoon, SK, CANADAAdresse e-mail validée de usask.ca
Nicky BestProfessor of Statistics and Epidemiology, Imperial College LondonAdresse e-mail validée de imperial.ac.uk
Matthew J. BealChicago Trading CompanyAdresse e-mail validée de chicagotrading.com
Celia M.T. GreenwoodSenior Investigator, Lady Davis InstituteAdresse e-mail validée de mcgill.ca
Shuying SunTexas State UniversityAdresse e-mail validée de txstate.edu

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Radford Neal

U Toronto *** GOOGLE SCHOLAR CAN GIVE WRONG PUBLICATION DATE/REFERENCE - LOOK AT ACTUAL PAPER/BOOK!

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

Bayesian inference Monte Carlo methods Information theory Machine learning Neural networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Bayesian learning for neural networks RM Neal Springer Science & Business Media, 1995	7066*	1995
Near Shannon limit performance of low density parity check codes DJC MacKay, RM Neal Electronics letters 33 (6), 457-458, 1997	5272	1997
Arithmetic coding for data compression IH Witten, RM Neal, JG Cleary Communications of the ACM 30 (6), 520-540, 1987	4616	1987
MCMC Using Hamiltonian Dynamics R Neal Handbook of Markov Chain Monte Carlo, 113-162, 2011	4589	2011
A view of the EM algorithm that justifies incremental, sparse, and other variants RM Neal, GE Hinton Learning in graphical models, 355-368, 1998	3737	1998
Markov chain sampling methods for Dirichlet process mixture models RM Neal Journal of computational and graphical statistics 9 (2), 249-265, 2000	3302	2000
Slice sampling RM Neal Annals of statistics, 705-741, 2003	2970	2003
Probabilistic inference using Markov chain Monte Carlo methods RM Neal Department of Computer Science, University of Toronto, 1993	2481	1993
Annealed importance sampling RM Neal Statistics and computing 11, 125-139, 2001	1872	2001
The helmholtz machine P Dayan, GE Hinton, RM Neal, RS Zemel Neural computation 7 (5), 889-904, 1995	1765	1995
The" wake-sleep" algorithm for unsupervised neural networks GE Hinton, P Dayan, BJ Frey, RM Neal Science 268 (5214), 1158-1161, 1995	1602	1995
Markov chain Monte Carlo in practice: a roundtable discussion RE Kass, BP Carlin, A Gelman, RM Neal The American Statistician 52 (2), 93-100, 1998	928	1998
Arithmetic coding revisited A Moffat, RM Neal, IH Witten ACM Transactions on Information Systems (TOIS) 16 (3), 256-294, 1998	867	1998
Connectionist learning of belief networks RM Neal Artificial intelligence 56 (1), 71-113, 1992	775	1992
Good codes based on very sparse matrices DJC MacKay, RM Neal IMA International Conference on Cryptography and Coding, 100-111, 1995	722	1995
Regression and classification using Gaussian process priors RM Neal Bayesian Statistics 6, 1998	701*	1998
Monte Carlo implementation of Gaussian process models for Bayesian regression and classification RM Neal arXiv preprint physics/9701026, 1997	642	1997
A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model S Jain, RM Neal Journal of Computational and Graphical Statistics, 2004	627	2004
Priors for infinite networks RM Neal	519	1994
Sampling from multimodal distributions using tempered transitions RM Neal Statistics and computing 6, 353-366, 1996	479	1996

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