graph structure

Provable Bounds for Learning Some Deep Representations ICML 2014 Randomized Experimental Design for Causal Graph Discovery NeurIPS 2014 Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013 Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013 Visual Semantic Complex Network for Web Images ICCV 2013 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Sparsistency of the Edge Lasso over Graphs AISTATS 2012 Data Skeletonization via Reeb Graphs NeurIPS 2011 Learning a Distance Metric from a Network NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 More data means less inference: A pseudo-max approach to structured learning NeurIPS 2010 Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008