Differentiable Convex Optimization Layers.
Akshay AgrawalBrandon AmosShane T. BarrattStephen P. BoydSteven DiamondJ. Zico KolterPublished in: CoRR (2019)
Keyphrases
- convex optimization
- low rank
- interior point methods
- primal dual
- convex optimization problems
- total variation
- convex programming
- augmented lagrangian
- objective function
- convex relaxation
- norm minimization
- loss function
- operator splitting
- basis pursuit
- convex formulation
- image restoration
- supervised learning
- multiresolution
- evolutionary algorithm