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

Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points JMLR 2018
Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure AISTATS 2018
Graphical Models for Non-Negative Data Using Generalized Score Matching AISTATS 2018
Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis NIPS 2017
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017
Learning Local Dependence In Ordered Data JMLR 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NIPS 2017
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models AISTATS 2016
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016
Learning Sparse Gaussian Graphical Models with Overlapping Blocks NIPS 2016
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016
Joint Structural Estimation of Multiple Graphical Models JMLR 2016
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models JMLR 2016
Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NIPS 2015
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior ICML 2015
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix ICML 2015
Testing Unfaithful Gaussian Graphical Models NIPS 2014