precision matrix

High-Dimensional Inference for Cluster-Based Graphical Models JMLR 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NeurIPS 2020 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Quantile Graphical Models: a Bayesian Approach JMLR 2020 Sequential change-point detection in high-dimensional Gaussian graphical models JMLR 2020 Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019 Bayesian Joint Estimation of Multiple Graphical Models NeurIPS 2019 Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization IJCAI 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Random Matrix Improved Covariance Estimation for a Large Class of Metrics ICML 2019 A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 2018 Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Learning Local Dependence In Ordered Data JMLR 2017 Learning to Discover Sparse Graphical Models ICML 2017 Minimax Estimation of Bandable Precision Matrices NeurIPS 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 A Well-Conditioned and Sparse Estimation of Covariance and Inverse Covariance Matrices Using a Joint Penalty JMLR 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Joint Estimation of Multiple Precision Matrices with Common Structures JMLR 2015 Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix ICML 2015