Expectation Propagation for approximate Bayesian inference

10 January 2013

Papers citing "Expectation Propagation for approximate Bayesian inference"

41 / 491 papers shown

Title
Expectation Propagation for Continuous Time Bayesian Networks Uri Nodelman D. Koller C. Shelton 32 82 0 04 Jul 2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression Tim Salimans David A. Knowles 51 250 0 28 Jun 2012
Gaussian Process Quantile Regression using Expectation Propagation A. Boukouvalas R. Barillec D. Cornford GP 23 22 0 27 Jun 2012
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing G. Elidan Ian McGraw D. Koller 30 308 0 27 Jun 2012
Predictive Approaches For Gaussian Process Classifier Model Selection Sundararajan Sellamanickam Sathiya Keerthi Selvaraj 43 3 0 26 Jun 2012
Improved Dynamic Schedules for Belief Propagation Charles Sutton Andrew McCallum 43 51 0 20 Jun 2012
On Discarding, Caching, and Recalling Samples in Active Learning Ashish Kapoor Eric Horvitz 32 18 0 20 Jun 2012
Reasoning at the Right Time Granularity S. Saria Uri Nodelman D. Koller 24 51 0 20 Jun 2012
Cumulative distribution networks and the derivative-sum-product algorithm Jim C. Huang B. Frey 42 37 0 13 Jun 2012
Gibbs Sampling in Factorized Continuous-Time Markov Processes T. El-Hay N. Friedman R. Kupferman 38 61 0 13 Jun 2012
Virtual Vector Machine for Bayesian Online Classification T. Minka Rongjing Xiang Yuan Y. Qi 50 14 0 09 May 2012
EigenGP: Sparse Gaussian process models with data-dependent eigenfunctions Y. Qi B. Dai Yao Zhu 21 1 0 18 Apr 2012
Parametric Return Density Estimation for Reinforcement Learning Tetsuro Morimura Masashi Sugiyama H. Kashima Hirotaka Hachiya Toshiyuki Tanaka 41 112 0 15 Mar 2012
Sparse-posterior Gaussian Processes for general likelihoods Yuan Y. Qi Ahmed H. Abdel-Gawad T. Minka GP 45 31 0 15 Mar 2012
Asymptotic normality and valid inference for Gaussian variational approximation P. Hall Tung H. Pham M. Wand S. S. J. Wang 33 60 0 23 Feb 2012
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation M. Blum M. Nunes D. Prangle Scott A. Sisson 61 361 0 16 Feb 2012
Approximation by Quantization Vibhav Gogate Pedro M. Domingos 34 19 0 14 Feb 2012
EDML: A Method for Learning Parameters in Bayesian Networks Arthur Choi Khaled S. Refaat Adnan Darwiche 31 5 0 14 Feb 2012
Message-Passing Algorithms for Channel Estimation and Decoding Using Approximate Inference Mihai-Alin Badiu G. E. Kirkelund Carles Navarro i Manchon Erwin Riegler B. Fleury 52 36 0 07 Feb 2012
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 61 327 0 19 Dec 2011
Convergent Expectation Propagation in Linear Models with Spike-and-slab Priors José Miguel Hernández-Lobato Daniel Hernández-Lobato 52 4 0 10 Dec 2011
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 59 667 0 06 Dec 2011
Gaussian Probabilities and Expectation Propagation John P. Cunningham Philipp Hennig Simon Lacoste-Julien 47 41 0 29 Nov 2011
Expectation-Propagation for Likelihood-Free Inference Simon Barthelmé Nicolas Chopin 48 85 0 29 Jul 2011
Efficient variational inference in large-scale Bayesian compressed sensing George Papandreou Alan Yuille 21 27 0 22 Jul 2011
Gaussian Process Regression with a Student-t Likelihood Pasi Jylänki J. Vanhatalo Aki Vehtari GP 50 163 0 22 Jun 2011
Pitman-Yor Diffusion Trees David A. Knowles Zoubin Ghahramani 72 23 0 13 Jun 2011
Approximate inference via variational sampling A. Roche BDL 32 2 0 08 May 2011
An expert system for detecting automobile insurance fraud using social network analysis Lovro Šubelj Stefan Furlan M. Bajec 33 148 0 19 Apr 2011
Approximating Probability Densities by Iterated Laplace Approximations B. Bornkamp 54 27 0 17 Mar 2011
Multiple Kernel Learning: A Unifying Probabilistic Viewpoint H. Nickisch Matthias Seeger BDL GP 41 11 0 04 Mar 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning Y. Qi Feng Yan BDL 43 5 0 04 Feb 2011
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference Matthias Seeger H. Nickisch 42 31 0 16 Dec 2010
Inference with Multivariate Heavy-Tails in Linear Models Danny Bickson Carlos Guestrin 73 10 0 31 Aug 2010
Belief Propagation Algorithm for Portfolio Optimization Problems T. Shinzato Muneki Yasuda 45 7 0 23 Aug 2010
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray Ryan P. Adams 60 233 0 04 Jun 2010
Variable sigma Gaussian processes: An expectation propagation perspective Y. Qi Ahmed H. Abdel-Gawad T. Minka 55 1 0 05 Oct 2009
Expectation Propagation on the Maximum of Correlated Normal Variables Philipp Hennig 66 4 0 01 Oct 2009
Comprehensive Security Framework for Global Threads Analysis Jacques Saraydaryan F. Benali S. Ubéda 54 7 0 12 Sep 2009
Modeling Social Annotation: a Bayesian Approach Anon Plangprasopchok Kristina Lerman 41 18 0 09 Nov 2008
Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models Matthias Seeger H. Nickisch 57 22 0 06 Oct 2008