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

On Sparse Gaussian Chain Graph Models NIPS 2014
Blossom Tree Graphical Models NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014
Learning Latent Variable Gaussian Graphical Models ICML 2014
Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014
Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NIPS 2013
Parsing epileptic events using a Markov switching process model for correlated time series ICML 2013
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NIPS 2012
The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012
Recovering Networks from Distance Data ACML 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Structured Learning of Gaussian Graphical Models NIPS 2012
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NIPS 2011
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression AISTATS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009