expectation propagation

Expectation Propagation for t-Exponential Family Using q-Algebra NeurIPS 2017 Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016 Black-Box Alpha Divergence Minimization ICML 2016 Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016 Scalable Gaussian Process Classification via Expectation Propagation AISTATS 2016 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 Bayesian dark knowledge NeurIPS 2015 Bounding errors of Expectation-Propagation NeurIPS 2015 Consensus Message Passing for Layered Graphical Models AISTATS 2015 Expectation Particle Belief Propagation NeurIPS 2015 Expectation Propagation for Rectified Linear Poisson Regression ACML 2015 Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition ICCV 2015 Stochastic Expectation Propagation NeurIPS 2015 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014 Gaussian Approximation of Collective Graphical Models ICML 2014 PAC-Bayesian AUC classification and scoring NeurIPS 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014 Tilted Variational Bayes AISTATS 2014 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013