Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient

Mingkui Tan, Shijie Xiao, Junbin Gao +3

Nuclear-norm regularization plays a vital role in many learning tasks, such as low-rank matrix recovery (MR), and low-rank representation (LRR). Solving this problem directly can b…