Convergence of projected subgradient method with sparse or low-rank constraints.

Hang Xu Song Li Junhong Lin

Published in: Adv. Comput. Math. (2024)

Keyphrases

low rank
low rank matrix
rank minimization
low rank matrices
linear combination
missing data
convex optimization

subgradient method
matrix factorization
matrix completion
singular value decomposition
high dimensional data
high order
regularized regression

kernel matrix
semi supervised
sparse matrix
constraint programming
convergence rate
constrained optimization

convex relaxation
sparse representation
low dimensional
linear programming
higher order
dynamic programming