1 citations · 1 across the 5 of their papers we have counts for
15 papers
A note on sharp oracle bounds for Slope and Lasso
Zhiyong Zhou
In this paper, we study the sharp oracle bounds for Slope and Lasso and generalize the results in Bellec et al. (2018) to allow the case that the parameter vector is not exactly sp…
A Unified Framework for Constructing Nonconvex Regularizations
Zhiyong Zhou
Over the past decades, many individual nonconvex methods have been proposed to achieve better sparse recovery performance in various scenarios. However, how to construct a valid no…
Sparse recovery based on the generalized error function
Zhiyong Zhou
In this paper, we propose a novel sparse recovery method based on the generalized error function. The penalty function introduced involves both the shape and the scale parameters,…
Block sparse signal recovery via minimizing the block -ratio sparsity
Zhiyong Zhou
In this paper, we propose a method for block sparse signal recovery that minimizes the block -ratio sparsity $\left(\lVert z\rVert_{2,1}/\lVert z\rVert_{2,q}\right)^{\frac{q}{q-…
Minimization of the -ratio sparsity with for signal recovery
Zhiyong Zhou, Jun Yu
In this paper, we propose a general scale invariant approach for sparse signal recovery via the minimization of the -ratio sparsity. When , both the theoretic…
Statistical inference for block sparsity of complex signals
Jianfeng Wang, Zhiyong Zhou, Jun Yu
Block sparsity is an important parameter in many algorithms to successfully recover block sparse signals under the framework of compressive sensing. However, it is often unknown an…