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high-dimensional statistics

145 papers

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Co-occurring keywords

sparse regression (175) graphical model (864) high-dimensional regression (142) covariance estimation (98) robust statistics (102) sparse estimation (88) hypothesis testing (254) robust estimation (168) generalized linear model (138) variable selection (146)

Papers

Robust Multi-task Regression with Grossly Corrupted Observations AISTATS 2012
Transelliptical Component Analysis NIPS 2012
Sparsistency of the Edge Lasso over Graphs AISTATS 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
On Time Varying Undirected Graphs AISTATS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Fast global convergence rates of gradient methods for high-dimensional statistical recovery NIPS 2010
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006