Dongya Wu

most citedSparse recovery via nonconvex regularized

M

-estimators over

ℓ_{q}

-balls

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.ST2019

Minimax rates of $ℓ_{p}$ -losses for high-dimensional linear regression models with additive measurement errors over $ℓ_{q}$ -balls

Xin Li, Dongya Wu

We study minimax rates for high-dimensional linear regression with additive errors under the $ℓ_{p} (1 \leq p < \infty)$ -losses, where the regression parameter is of weak sparsity.…

math.ST2019★ 1 cited

Sparse recovery via nonconvex regularized $M$ -estimators over $ℓ_{q}$ -balls

Xin Li, Dongya Wu, Chong Li +2

In this paper, we analyse the recovery properties of nonconvex regularized $M$ -estimators, under the assumption that the true parameter is of soft sparsity. In the statistical aspe…

Minimax rates of ℓp​-losses for high-dimensional linear regression models with additive measurement errors over ℓq​-balls

Sparse recovery via nonconvex regularized M-estimators over ℓq​-balls

Minimax rates of $ℓ_{p}$ -losses for high-dimensional linear regression models with additive measurement errors over $ℓ_{q}$ -balls

Sparse recovery via nonconvex regularized $M$ -estimators over $ℓ_{q}$ -balls