Graph Theory

Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Nonparametric estimation and testing of exchangeable graph models AISTATS 2014 Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 Random Bayesian networks with bounded indegree AISTATS 2014 Randomized Experimental Design for Causal Graph Discovery NeurIPS 2014 Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 2014 Seeded Graph Matching for Correlated Erdos-Renyi Graphs JMLR 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Spectral Bandits for Smooth Graph Functions ICML 2014 Spectral Clustering of graphs with the Bethe Hessian NeurIPS 2014 Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation CVPR 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Symmetry-Aware Nonrigid Matching of Incomplete 3D Surfaces CVPR 2014 Testing Unfaithful Gaussian Graphical Models NeurIPS 2014 The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation ICML 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014 A Local Algorithm for Finding Well-Connected Clusters ICML 2013