conftrace_

gaussian graphical model

106 papers

Explore in graph

Also known as

GGM

Co-occurring keywords

precision matrix (58) structure learning (341) graphical model (864) graphical lasso (31) sparse estimation (88) convex optimization (1321) precision matrix estimation (27) high-dimensional estimation (43) inverse covariance matrix (13) maximum likelihood estimation (233)

Papers

Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024
GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NIPS 2024
Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024
Transfer learning for tensor Gaussian graphical models JMLR 2024
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition NIPS 2023
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph JMLR 2023
Conditional Matrix Flows for Gaussian Graphical Models NIPS 2023
On perfectness in Gaussian graphical models AISTATS 2022
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models JMLR 2022
EM’s Convergence in Gaussian Latent Tree Models COLT 2022
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022
Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization PGM 2022
Identifiability of Linear AMP Chain Graph Models AAAI 2022
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
Learning partial correlation graphs and graphical models by covariance queries JMLR 2021
Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021