Smooth optimization using global and local low-rank regularizers

Rodrigo A. Lobos, Javier Salazar Cavazos, Raj Rao Nadakuditi +1

Many inverse problems and signal processing problems involve low-rank regularizers based on the nuclear norm. Commonly, proximal gradient methods (PGM) are adopted to solve this ty…