Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns

10 June 2022

Papers citing "Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns"

10 / 10 papers shown

Title
Low-rank matrix completion theory via Plucker coordinates M. Tsakiris 75 11 0 26 Apr 2020
A deterministic theory of low rank matrix completion S. Chatterjee 59 27 0 02 Oct 2019
Matrix completion with deterministic pattern - a geometric perspective A. Shapiro Yao Xie Rui Zhang 61 26 0 31 Jan 2018
Universal Matrix Completion Srinadh Bhojanapalli Prateek Jain 80 103 0 10 Feb 2014
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 306 517 0 10 May 2013
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 124 156 0 02 Dec 2011
A tail inequality for quadratic forms of subgaussian random vectors Daniel J. Hsu Sham Kakade Tong Zhang 139 422 0 13 Oct 2011
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 231 4,326 0 04 May 2011
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 249 873 0 21 Nov 2008
Lasso-type recovery of sparse representations for high-dimensional data N. Meinshausen Bin Yu 475 882 0 01 Jun 2008