Convergence of adaptive algorithms for constrained weakly convex optimization.
Ahmet AlacaogluYura MalitskyVolkan CevherPublished in: NeurIPS (2021)
Keyphrases
- convex optimization
- adaptive algorithms
- non stationary
- operator splitting
- alternating direction
- interior point methods
- low rank
- primal dual
- convex relaxation
- total variation
- convex optimization problems
- norm minimization
- convergence rate
- iterative algorithms
- interior point
- augmented lagrangian
- convex formulation
- basis pursuit
- image processing
- evolutionary algorithm