sparse inverse covariance

Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition NeurIPS 2023 Learning Partial Correlation Based Deep Visual Representation for Image Classification CVPR 2023 EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022 Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions JMLR 2019 Markov Random Fields for Collaborative Filtering NeurIPS 2019 Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018 Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014 A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012 High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012 Newton-Like Methods for Sparse Inverse Covariance Estimation NeurIPS 2012 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NeurIPS 2011 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods NeurIPS 2010 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NeurIPS 2009