Graphical Models

Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015 Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015 Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models NeurIPS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach ICML 2015 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Reified Context Models ICML 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Robust Principal Component Analysis on Graphs ICCV 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 Segregated Graphs and Marginals of Chain Graph Models NeurIPS 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics NeurIPS 2015 Subgraph Decomposition for Multi-Target Tracking CVPR 2015 The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose CVPR 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014 Advances in Learning Bayesian Networks of Bounded Treewidth NeurIPS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014