graphical lasso

Scene Labeling Using Sparse Precision Matrix CVPR 2016 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Blossom Tree Graphical Models NeurIPS 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 The Bigraphical Lasso ICML 2013 Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010