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precision matrix estimation

27 papers

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Co-occurring keywords

graphical model (864) gaussian graphical model (106) precision matrix (58) sparse optimization (246) sparse estimation (88) alternating direction method of multiplier (145) graphical lasso (31) sparse precision matrix (8) matrix estimation (34) high-dimensional statistics (145)

Papers

MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity NIPS 2023
Adaptive Estimation of Graphical Models under Total Positivity ICML 2023
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021
Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NIPS 2020
Community-Based Group Graphical Lasso JMLR 2020
High-dimensional Gaussian graphical models on network-linked data JMLR 2020
Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019
Joint Nonparametric Precision Matrix Estimation with Confounding UAI 2019
Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017
Inverse Covariance Estimation with Structured Groups IJCAI 2017
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R JMLR 2015
The FASTCLIME Package for Linear Programming and Large-Scale Precision Matrix Estimation in R JMLR 2014
Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
Large Scale Distributed Sparse Precision Estimation NIPS 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013