Nesterov Accelerated Shuffling Gradient Method for Convex Optimization.
Trang H. TranLam M. NguyenKatya ScheinbergPublished in: CoRR (2022)
Keyphrases
- convex optimization
- gradient method
- convex formulation
- semidefinite programming
- primal dual
- convergence rate
- interior point methods
- total variation
- negative matrix factorization
- optimization methods
- low rank
- step size
- convex relaxation
- kernel matrix
- convex optimization problems
- maximum margin
- interior point
- image segmentation
- face recognition