1 citations · 1 across the 1 of their papers we have counts for
2 papers
math.OC2019
Regularization parameter selection for low rank matrix recovery
Pan Shang, Lingchen Kong
Low rank matrix recovery is the focus of many applications, but it is a NP-hard problem. A popular way to deal with this problem is to solve its convex relaxation, the nuclear norm…
math.ST2019★ 1 cited
Tuning parameter selection rules for nuclear norm regularized multivariate linear regression
Pan Shang, Lingchen Kong
We consider the tuning parameter selection rules for nuclear norm regularized multivariate linear regression (NMLR) in high-dimensional setting. High-dimensional multivariate linea…