Revisiting First-Order Convex Optimization Over Linear Spaces.
Francesco LocatelloAnant RajSai Praneeth KarimireddyGunnar RätschBernhard SchölkopfSebastian U. StichMartin JaggiPublished in: CoRR (2018)
Keyphrases
- convex optimization
- interior point methods
- operator splitting
- low rank matrix
- convex sets
- low rank
- norm minimization
- convex relaxation
- total variation
- quadratic program
- first order logic
- convex optimization problems
- primal dual
- higher order
- semidefinite
- machine learning
- semidefinite program
- augmented lagrangian method
- alternating direction method of multipliers
- linear transformation
- semi definite programming
- finite dimensional
- image compression
- multiresolution
- pairwise
- computer vision