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covariance matrix

111 papers

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Co-occurring keywords · papers mentioning both

covariance estimation (11) high-dimensional statistics (10) graphical model (8) conditional independence (7) linear regression (6) gaussian graphical model (6) sample complexity (6) principal component analysis (6) riemannian geometry (5) gaussian process (5)

Papers

Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Random Design Analysis of Ridge Regression COLT 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011 High-dimensional Covariance Estimation Based On Gaussian Graphical Models JMLR 2011 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Tight Sample Complexity of Large-Margin Learning NeurIPS 2010 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Blind Source Separation via Generalized Eigenvalue Decomposition JMLR 2003