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Graph Theory

1375 directly classified papers

Papers per year

Papers

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NIPS 2014
Nonlinear Graph Sparsification for SLAM RSS 2014
Learning Graphs with a Few Hubs ICML 2014
Spectral Bandits for Smooth Graph Functions ICML 2014
Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow ICML 2014
Min-Max Problems on Factor Graphs ICML 2014
Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014
Learning Chordal Markov Networks by Dynamic Programming NIPS 2014
Graph Estimation From Multi-Attribute Data JMLR 2014
Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014
An inclusion optimal algorithm for chain graph structure learning AISTATS 2014
Active Learning for Undirected Graphical Model Selection AISTATS 2014
Mixed Graphical Models via Exponential Families AISTATS 2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials NIPS 2014
Testing Unfaithful Gaussian Graphical Models NIPS 2014
Structure learning of antiferromagnetic Ising models NIPS 2014
Spectral Clustering of graphs with the Bethe Hessian NIPS 2014
Streaming, Memory Limited Algorithms for Community Detection NIPS 2014
Weighted Graph Clustering with Non-Uniform Uncertainties ICML 2014
Randomized Experimental Design for Causal Graph Discovery NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014
Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning CVPR 2014