Convex and Non-Convex Optimization under Generalized Smoothness.
Haochuan LiJian QianYi TianAlexander RakhlinAli JadbabaiePublished in: CoRR (2023)
Keyphrases
- convex optimization
- convex programming
- interior point methods
- low rank
- convex relaxation
- convex optimization problems
- convex constraints
- primal dual
- convex formulation
- norm minimization
- augmented lagrangian
- total variation
- operator splitting
- convex sets
- optimization problems
- low rank matrix
- cost function
- objective function
- quadratic program
- higher order
- denoising
- semi definite programming
- multiresolution