probabilistic graphical model

Conservation Tracking ICCV 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Similarity Component Analysis NeurIPS 2013 Tracking People and Their Objects CVPR 2013 Adaptive MCMC with Bayesian Optimization AISTATS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Copula Network Classifiers (CNCs) AISTATS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Toward Information Theoretic Human-Robot Dialog RSS 2012 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011 Demixed Principal Component Analysis NeurIPS 2011 Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011 Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011 Message-Passing for Approximate MAP Inference with Latent Variables NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010