belief propagation

Supervised Community Detection with Line Graph Neural Networks ICLR 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 Active Neural Localization ICLR 2018 Community Detection and Stochastic Block Models: Recent Developments JMLR 2018 From Stochastic Planning to Marginal MAP NeurIPS 2018 Graphical model inference: Sequential Monte Carlo meets deterministic approximations NeurIPS 2018 A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case AISTATS 2017 Annular Augmentation Sampling AISTATS 2017 Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017 Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017 Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty RSS 2017 Gauging Variational Inference NeurIPS 2017 Inference in Graphical Models via Semidefinite Programming Hierarchies NeurIPS 2017 Min-Max Propagation NeurIPS 2017 Tensor Belief Propagation ICML 2017 Uprooting and Rerooting Higher-Order Graphical Models NeurIPS 2017 Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation NeurIPS 2016 Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016 Constraints Based Convex Belief Propagation NeurIPS 2016 Cooperative Graphical Models NeurIPS 2016 Density Evolution in the Degree-correlated Stochastic Block Model COLT 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016 Optimality of Belief Propagation for Crowdsourced Classification ICML 2016 Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016