graphical model

On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Statistical Textural Distinctiveness for Salient Region Detection in Natural Images CVPR 2013 Structure Learning of Mixed Graphical Models AISTATS 2013 Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013 The Bigraphical Lasso ICML 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013 Tracking People and Their Objects CVPR 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Training Energy-Based Models for Time-Series Imputation JMLR 2013 Transportability from Multiple Environments with Limited Experiments NeurIPS 2013 Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration ICCV 2013 Universality of the Local Marginal Polytope CVPR 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 Adaptive MCMC with Bayesian Optimization AISTATS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Causality with Gates AISTATS 2012 Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012 Complexity of Bethe Approximation AISTATS 2012