precision matrix

Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data UAI 2026 Efficient Network Automatic Relevance Determination ICML 2025 Extremal graphical modeling with latent variables via convex optimization JMLR 2025 Robust Multi-view Co-expression Network Inference CLeaR 2025 DNNLasso: Scalable Graph Learning for Matrix-Variate Data AISTATS 2024 Efficient Graph Laplacian Estimation by Proximal Newton AISTATS 2024 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NeurIPS 2024 FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings NeurIPS 2024 Identifying Causal Changes Between Linear Structural Equation Models UAI 2024 Adaptive Estimation of Graphical Models under Total Positivity ICML 2023 Conditional Matrix Flows for Gaussian Graphical Models NeurIPS 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022 Estimating graphical models for count data with applications to single-cell gene network NeurIPS 2022 Intervention target estimation in the presence of latent variables UAI 2022 The Dual PC Algorithm for Structure Learning PGM 2022 Variational nearest neighbor Gaussian process ICML 2022 Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021 Scalable Intervention Target Estimation in Linear Models NeurIPS 2021 Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021 Adaptive Reduced Rank Regression NeurIPS 2020 EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices UAI 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020