Expectation Propagation for approximate Bayesian inference

10 January 2013

Papers citing "Expectation Propagation for approximate Bayesian inference"

50 / 491 papers shown

Title
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 21 64 0 31 May 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 24 545 0 23 May 2016
Variational Inference with Agent-Based Models Wen Dong 23 3 0 14 May 2016
Scalable Gaussian Processes for Supervised Hashing B. Ozdemir L. Davis 19 2 0 25 Apr 2016
Constructive Preference Elicitation by Setwise Max-margin Learning Stefano Teso Andrea Passerini P. Viappiani 17 24 0 20 Apr 2016
Probabilistic Receiver Architecture Combining BP, MF, and EP for Multi-Signal Detection S. M. I. Daniel J. Jakubisin S. M. I. R. Michael Buehrer S. M. I. Claudio R. C. M. da Silva 18 7 0 17 Apr 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 9 25 0 01 Apr 2016
Hierarchical Gaussian Mixture Model with Objects Attached to Terminal and Non-terminal Dendrogram Nodes Lukasz P. Olech M. Paradowski 16 10 0 28 Mar 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 22 253 0 15 Mar 2016
A Poisson process model for Monte Carlo Chris J. Maddison 8 22 0 18 Feb 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 22 87 0 16 Feb 2016
Online Low-Rank Subspace Learning from Incomplete Data: A Bayesian View Paris V. Giampouras A. Rontogiannis K. Themelis K. Koutroumbas 20 2 0 11 Feb 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 35 1,351 0 08 Feb 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 32 258 0 06 Feb 2016
Bounding errors of Expectation-Propagation Guillaume P. Dehaene Simon Barthelmé 11 25 0 11 Jan 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 23 4,705 0 04 Jan 2016
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics F. Monmont P. Koutsourelakis 21 17 0 14 Dec 2015
Divide and conquer in ABC: Expectation-Progagation algorithms for likelihood-free inference Simon Barthelmé Nicolas Chopin V. Cottet 13 10 0 01 Dec 2015
A General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hernández-Lobato M. Gelbart Ryan P. Adams Matthew W. Hoffman Zoubin Ghahramani 27 162 0 30 Nov 2015
Bayesian inference via rejection filtering N. Wiebe C. Granade Ashish Kapoor K. Svore BDL 14 9 0 20 Nov 2015
Principled Parallel Mean-Field Inference for Discrete Random Fields Pierre Baqué Timur M. Bagautdinov F. Fleuret Pascal Fua FedML 18 25 0 19 Nov 2015
Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato José Miguel Hernández-Lobato Amar Shah Ryan P. Adams 16 185 0 17 Nov 2015
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification Daniel Hernández-Lobato José Miguel Hernández-Lobato Yingzhen Li T. Bui Richard Turner BDL 25 0 0 10 Nov 2015
Black-box $α$ -divergence Minimization José Miguel Hernández-Lobato Yingzhen Li Mark Rowland Daniel Hernández-Lobato T. Bui Richard Turner 21 137 0 10 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 6 2,969 0 02 Nov 2015
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems M. Venanzi J. Guiver Pushmeet Kohli N. Jennings 12 32 0 21 Oct 2015
GLASSES: Relieving The Myopia Of Bayesian Optimisation Javier I. González Michael A. Osborne Neil D. Lawrence 8 119 0 21 Oct 2015
Distilling Model Knowledge George Papamakarios BDL 24 17 0 08 Oct 2015
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family Tohid Ardeshiri U. Orguner Fredrik K. Gustafsson 33 10 0 05 Oct 2015
A Geometric View of Posterior Approximation T. Chen J. Streets Babak Shahbaba 26 5 0 03 Oct 2015
Gibbs flow for approximate transport with applications to Bayesian computation J. Heng Arnaud Doucet Y. Pokern OT 21 46 0 29 Sep 2015
Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory Sanggyun Kim Diego A. Mesa Rui Ma Todd P. Coleman 9 4 0 29 Sep 2015
Bayesian inference for spatio-temporal spike-and-slab priors Michael Riis Andersen Aki Vehtari Ole Winther Lars Kai Hansen 18 32 0 15 Sep 2015
Lazy Factored Inference for Functional Probabilistic Programming Avi Pfeffer Brian E. Ruttenberg A. Sliva Michael Howard Glenn Takata TPM 11 1 0 11 Sep 2015
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems Michael Riis Andersen Ole Winther Lars Kai Hansen 18 3 0 19 Aug 2015
From Cutting Planes Algorithms to Compression Schemes and Active Learning L. Ralaivola Ugo Louche 11 5 0 12 Aug 2015
An Analytically Tractable Bayesian Approximation to Optimal Point Process Filtering Y. Harel Ron Meir Manfred Opper 18 0 0 28 Jul 2015
Sparse Probit Linear Mixed Model Stephan Mandt F. Wenzel Shinichi Nakajima John P. Cunningham C. Lippert Marius Kloft 23 11 0 16 Jul 2015
Scalable Gaussian Process Classification via Expectation Propagation Daniel Hernández-Lobato José Miguel Hernández-Lobato 27 52 0 16 Jul 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation Nicolas Chopin James Ridgway 37 75 0 29 Jun 2015
Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms Yuchen Zhang Michael I. Jordan 23 20 0 24 Jun 2015
Expectation Particle Belief Propagation Thibaut Lienart Yee Whye Teh Arnaud Doucet 19 24 0 19 Jun 2015
Stochastic Expectation Propagation Yingzhen Li Jose Miguel Hernandez-Lobato Richard Turner 21 114 0 12 Jun 2015
Neural Adaptive Sequential Monte Carlo S. Gu Zoubin Ghahramani Richard Turner BDL 16 145 0 10 Jun 2015
Performing Bayesian Risk Aggregation using Discrete Approximation Algorithms with Graph Factorization Peng Lin 16 4 0 02 Jun 2015
A New Perspective and Extension of the Gaussian Filter Manuel Wüthrich Sebastian Trimpe Daniel Kappler S. Schaal 45 25 0 29 Apr 2015
Expectation Propagation in the large-data limit Guillaume P. Dehaene Simon Barthelmé 16 44 0 27 Mar 2015
Bayesian computation: a perspective on the current state, and sampling backwards and forwards P. Green K. Latuszyñski Marcelo Pereyra Christian P. Robert 45 21 0 04 Feb 2015
Transport map accelerated Markov chain Monte Carlo M. Parno Youssef Marzouk OT 54 159 0 17 Dec 2014
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data Aki Vehtari Andrew Gelman Tuomas Sivula Pasi Jylänki Dustin Tran Swupnil Sahai Paul Blomstedt John P. Cunningham D. Schiminovich Christian P. Robert 26 18 0 16 Dec 2014