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Graph Theory

1375 directly classified papers

Papers per year

Papers

A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm ACML 2012
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NIPS 2012
Learning with Partially Absorbing Random Walks NIPS 2012
Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012
Topology Constraints in Graphical Models NIPS 2012
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
Clustering Sparse Graphs NIPS 2012
Fusion with Diffusion for Robust Visual Tracking NIPS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning NIPS 2011
Reconstructing Patterns of Information Diffusion from Incomplete Observations NIPS 2011
Collective Graphical Models NIPS 2011
Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
Structure Learning for Optimization NIPS 2011
Adaptive Exact Inference in Graphical Models JMLR 2011
High-dimensional Covariance Estimation Based On Gaussian Graphical Models JMLR 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Data Skeletonization via Reeb Graphs NIPS 2011
Parallel Algorithm for Learning Optimal Bayesian Network Structure JMLR 2011