Nesterov Accelerated Shuffling Gradient Method for Convex Optimization.
Trang H. TranKatya ScheinbergLam M. NguyenPublished in: ICML (2022)
Keyphrases
- convex optimization
- gradient method
- convex formulation
- semidefinite programming
- primal dual
- convergence rate
- interior point methods
- step size
- optimization methods
- total variation
- convex relaxation
- low rank
- convex programming
- computer vision
- negative matrix factorization
- convex optimization problems
- interior point
- denoising
- feature space