Graph Theory

The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 A Recursive Method for Structural Learning of Directed Acyclic Graphs JMLR 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008 Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns JMLR 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks JMLR 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Online Prediction on Large Diameter Graphs NeurIPS 2008 Skill Characterization Based on Betweenness NeurIPS 2008 Spectral Hashing NeurIPS 2008 Structural Learning of Chain Graphs via Decomposition JMLR 2008 Dynamic Coverage Verification in Mobile Sensor Networks Via Switched Higher Order Laplacians RSS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Graph Laplacians and their Convergence on Random Neighborhood Graphs JMLR 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning JMLR 2007 Approximate inference using planar graph decomposition NeurIPS 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 Convergence of Laplacian Eigenmaps NeurIPS 2006 Distance Patterns in Structural Similarity JMLR 2006