An inexact accelerated stochastic ADMM for separable convex optimization.
Jianchao BaiWilliam W. HagerHongchao ZhangPublished in: Comput. Optim. Appl. (2022)
Keyphrases
- convex optimization
- alternating direction method of multipliers
- total variation
- interior point methods
- convex relaxation
- convex optimization problems
- augmented lagrangian
- primal dual
- operator splitting
- semidefinite program
- augmented lagrangian method
- low rank
- image denoising
- norm minimization
- convex formulation
- optimization problems
- basis pursuit
- markov random field
- image processing
- learning algorithm