belief propagation

Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Markov Network-Based Unified Classifier for Face Identification ICCV 2013 Message passing with l1 penalized KL minimization ICML 2013 Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013 Slice Sampling Particle Belief Propagation ICCV 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Causality with Gates AISTATS 2012 Complexity of Bethe Approximation AISTATS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Lifted Linear Programming AISTATS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Fast b-matching via Sufficient Selection Belief Propagation AISTATS 2011 Faster Algorithms for Max-Product Message-Passing JMLR 2011 Learning unbelievable probabilities NeurIPS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011 Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011 Query-Aware MCMC NeurIPS 2011