Expectation propagation

Results: 38



#Item
1Learning to Pass Expectation Propagation Messages Nicolas Heess∗ Gatsby Unit, UCL Daniel Tarlow Microsoft Research

Learning to Pass Expectation Propagation Messages Nicolas Heess∗ Gatsby Unit, UCL Daniel Tarlow Microsoft Research

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Source URL: papers.nips.cc

Language: English - Date: 2014-11-25 16:15:37
2Just-In-Time Kernel Regression for Expectation Propagation  Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗

Just-In-Time Kernel Regression for Expectation Propagation Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗

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Source URL: arkitus.com

Language: English - Date: 2016-01-08 16:47:19
    3Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science

    Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science

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    Source URL: www.cs.huji.ac.il

    Language: English - Date: 2015-08-10 08:23:20
    4On the concentration of expectation and approximate inference in layered networks Michael I. Jordan University of California Berkeley, CA 94720

    On the concentration of expectation and approximate inference in layered networks Michael I. Jordan University of California Berkeley, CA 94720

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    Source URL: dept.stat.lsa.umich.edu

    Language: English - Date: 2004-01-18 19:14:54
    5Derivation of Expectation Propagation for “Fast Gaussian Process Methods for Point Process Intensity Estimation” John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA 94305

    Derivation of Expectation Propagation for “Fast Gaussian Process Methods for Point Process Intensity Estimation” John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA 94305

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    Source URL: stat.columbia.edu

    Language: English - Date: 2013-08-24 16:54:12
      6Expectation propagation for infinite mixtures (Extended abstract) Thomas Minka and Zoubin Ghahramani December 17, 2003 Abstract This note describes a method for approximate inference in infinite models that uses determin

      Expectation propagation for infinite mixtures (Extended abstract) Thomas Minka and Zoubin Ghahramani December 17, 2003 Abstract This note describes a method for approximate inference in infinite models that uses determin

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      Source URL: mlg.eng.cam.ac.uk

      Language: English - Date: 2006-05-16 12:30:01
        7Expectation Propagation in the large-data limit Guillaume Dehaene, Simon Barthelmé 1st April 2016 arXiv:1503.08060v2 [stat.CO] 31 Mar 2016

        Expectation Propagation in the large-data limit Guillaume Dehaene, Simon Barthelmé 1st April 2016 arXiv:1503.08060v2 [stat.CO] 31 Mar 2016

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        Source URL: arxiv.org

        Language: English - Date: 2016-03-31 21:25:59
          8Hierarchical expectation propagation for Bayesian aggregation of average data Andrew Gelman, Columbia University Sebastian Weber, Novartis also Bob Carpenter, Daniel Lee, Frédéric Bois, Aki Vehtari, and Amy Racine

          Hierarchical expectation propagation for Bayesian aggregation of average data Andrew Gelman, Columbia University Sebastian Weber, Novartis also Bob Carpenter, Daniel Lee, Frédéric Bois, Aki Vehtari, and Amy Racine

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          Source URL: www.stat.columbia.edu

          Language: English - Date: 2015-09-23 11:37:16
            9TO APPEAR IN PROC. OF 2014 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2014  EXPECTATION PROPAGATION FOR NONSTATIONARY HETEROSCEDASTIC GAUSSIAN PROCESS REGRESSION Ville Tolvanen1 , Pasi Jyl¨an

            TO APPEAR IN PROC. OF 2014 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2014 EXPECTATION PROPAGATION FOR NONSTATIONARY HETEROSCEDASTIC GAUSSIAN PROCESS REGRESSION Ville Tolvanen1 , Pasi Jyl¨an

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            Source URL: becs.aalto.fi

            Language: English - Date: 2014-07-25 07:13:09
              10Hybrid Variational/Gibbs Collapsed Inference in Topic Models  Max Welling∗ Dept. Computer Science University of California Irvine Irvine, CA, USA

              Hybrid Variational/Gibbs Collapsed Inference in Topic Models Max Welling∗ Dept. Computer Science University of California Irvine Irvine, CA, USA

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              Source URL: www.ics.uci.edu

              Language: English - Date: 2008-05-14 13:35:04