Graph Theory

Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Lifted Linear Programming AISTATS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012 The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012 Topology Constraints in Graphical Models NeurIPS 2012 Towards Persistent Localization and Mapping with a Continuous Appearance-based Topology RSS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Adaptive Exact Inference in Graphical Models JMLR 2011 A Linear Approximation for Graph-based Simultaneous Localization and Mapping RSS 2011 Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NeurIPS 2011 Collective Graphical Models NeurIPS 2011 Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs JMLR 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011