Recent Theoretical Advances in Non-Convex Optimization.
Marina DanilovaPavel E. DvurechenskyAlexander V. GasnikovEduard A. GorbunovSergey GuminovDmitry KamzolovInnokentiy ShibaevPublished in: CoRR (2020)
Keyphrases
- convex optimization
- interior point methods
- low rank
- convex relaxation
- convex optimization problems
- primal dual
- total variation
- convex programming
- augmented lagrangian
- semidefinite program
- alternating direction method of multipliers
- norm minimization
- image restoration
- convex formulation
- image denoising
- denoising
- semi definite programming
- evolutionary algorithm
- feature extraction