expectation propagation

Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010 Variational methods for Reinforcement Learning AISTATS 2010 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009 Approximations for Binary Gaussian Process Classification JMLR 2008 Bayesian Inference and Optimal Design for the Sparse Linear Model JMLR 2008 Gates NeurIPS 2008 Improving on Expectation Propagation NeurIPS 2008 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NeurIPS 2007 Robust Regression with Twinned Gaussian Processes NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NeurIPS 2006 Data Integration for Classification Problems Employing Gaussian Process Priors NeurIPS 2006 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 Gaussian Processes for Ordinal Regression JMLR 2005