conftrace_

inverse covariance matrix

13 papers

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Co-occurring keywords

gaussian graphical model (106) inverse covariance (20) convex optimization (1321) inverse covariance estimation (15) high-dimensional estimation (43) graphical lasso (31) graphical model (864) latent variable (541) high-dimensional datum (158) block coordinate descent (64)

Papers

Learning partial correlation graphs and graphical models by covariance queries JMLR 2021
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020
High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model JMLR 2020
SVD-Based Screening for the Graphical Lasso IJCAI 2017
Joint Structural Estimation of Multiple Graphical Models JMLR 2016
Learning Latent Variable Gaussian Graphical Models ICML 2014
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs NIPS 2013
On the Sample Complexity of Robust PCA NIPS 2012
Variable Selection for Gaussian Graphical Models AISTATS 2012
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010