conftrace_

high-dimensional statistics

145 papers

Explore in graph

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

Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Generalized Dantzig Selector: Application to the k-support norm NIPS 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Learning Graphs with a Few Hubs ICML 2014
Elementary Estimators for Graphical Models NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
Sparse PCA with Oracle Property NIPS 2014
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014
Estimating LASSO Risk and Noise Level NIPS 2013
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NIPS 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NIPS 2013
On model selection consistency of penalized M-estimators: a geometric theory NIPS 2013
A Comparative Framework for Preconditioned Lasso Algorithms NIPS 2013
Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications JMLR 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012