Graph Theory

Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Deformable Graph Matching CVPR 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013 Joint Spectral Correspondence for Disparate Image Matching CVPR 2013 Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Scalable kernels for graphs with continuous attributes NeurIPS 2013 Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings ICML 2013 The Generalized Laplacian Distance and Its Applications for Visual Matching CVPR 2013 Unsupervised Link Selection in Networks AISTATS 2013 Clustering Sparse Graphs NeurIPS 2012 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NeurIPS 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011 From Bandits to Experts: On the Value of Side-Observations NeurIPS 2011 Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NeurIPS 2011 Phase transition in the family of p-resistances NeurIPS 2011 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011