1 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression
Xin Li, Dongya Wu
High-dimensional matrix regression has been studied in various aspects, such as statistical properties, computational efficiency and application to specific instances including mul…
Low-rank matrix estimation in multi-response regression with measurement errors: Statistical and computational guarantees
Xin Li, Dongya Wu
In this paper, we investigate the matrix estimation problem in the multi-response regression model with measurement errors. A nonconvex error-corrected estimator based on a combina…
Minimax rates of -losses for high-dimensional linear regression models with additive measurement errors over -balls
Xin Li, Dongya Wu
We study minimax rates for high-dimensional linear regression with additive errors under the -losses, where the regression parameter is of weak sparsity.…
Sparse recovery via nonconvex regularized -estimators over -balls
Xin Li, Dongya Wu, Chong Li +2
In this paper, we analyse the recovery properties of nonconvex regularized -estimators, under the assumption that the true parameter is of soft sparsity. In the statistical aspe…