conftrace_

gaussian graphical model

106 papers

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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

False Discovery Rates in Biological Networks AISTATS 2021
Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021
Integrated Principal Components Analysis JMLR 2021
Multi-level Gaussian Graphical Models Conditional on Covariates AISTATS 2020
Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions JMLR 2020
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NIPS 2020
High-dimensional Gaussian graphical models on network-linked data JMLR 2020
A Unified Framework for Structured Graph Learning via Spectral Constraints JMLR 2020
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NIPS 2020
Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020
Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs ICML 2020
Learning Gaussian Graphical Models via Multiplicative Weights AISTATS 2020
Robust Estimation of Tree Structured Gaussian Graphical Models ICML 2019
Markov Random Fields for Collaborative Filtering NIPS 2019
Learning Tree Structures from Noisy Data AISTATS 2019
Learning Unfaithful $K$-separable Gaussian Graphical Models JMLR 2019
Globally optimal score-based learning of directed acyclic graphs in high-dimensions NIPS 2019
Power analysis of knockoff filters for correlated designs NIPS 2019
Structured Graph Learning Via Laplacian Spectral Constraints NIPS 2019
Partially Linear Additive Gaussian Graphical Models ICML 2019
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018