probabilistic inference

Truncating the Loop Series Expansion for Belief Propagation JMLR 2007 A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006 Conditional mean field NeurIPS 2006 Distributed Inference in Dynamical Systems NeurIPS 2006 Environment Identification for a Running Robot Using Inertial and Actuator Cues RSS 2006 Learning Nonparametric Models for Probabilistic Imitation NeurIPS 2006 Linear Programs for Hypotheses Selection in Probabilistic Inference Models JMLR 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Using Combinatorial Optimization within Max-Product Belief Propagation NeurIPS 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006 Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005 Dependency Networks for Inference, Collaborative Filtering, and Data Visualization JMLR 2000