High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity

16 September 2011

Papers citing "High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity"

13 / 13 papers shown

Title
Deep learning with missing data Tianyi Ma Tengyao Wang R. Samworth 146 0 0 21 Apr 2025
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning Michal Dereziñski Christopher Musco Jiaming Yang 75 2 0 09 May 2024
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm Xiudi Li Abolfazl Safikhani Ali Shojaie 88 2 0 14 Oct 2022
Improved Matrix Uncertainty Selector M. Rosenbaum Alexandre B. Tsybakov 63 66 0 19 Dec 2011
Fast global convergence of gradient methods for high-dimensional statistical recovery Alekh Agarwal S. Negahban Martin J. Wainwright 89 242 0 25 Apr 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 274 1,377 0 13 Oct 2010
Estimation of (near) low-rank matrices with noise and high-dimensional scaling S. Negahban Martin J. Wainwright 173 569 0 27 Dec 2009
On the conditions used to prove oracle results for the Lasso Sara van de Geer Peter Buhlmann 213 729 0 05 Oct 2009
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 114 167 0 15 Dec 2008
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 252 869 0 07 Aug 2008
Lasso-type recovery of sparse representations for high-dimensional data N. Meinshausen Bin Yu 213 879 0 01 Jun 2008
Sparse permutation invariant covariance estimation Adam J. Rothman Peter J. Bickel Elizaveta Levina Ji Zhu 477 907 0 31 Jan 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 300 2,527 0 07 Jan 2008