Differentiable Convex Optimization Layers.
Akshay AgrawalBrandon AmosShane T. BarrattStephen P. BoydSteven DiamondJ. Zico KolterPublished in: NeurIPS (2019)
Keyphrases
- convex optimization
- interior point methods
- low rank
- primal dual
- convex programming
- operator splitting
- convex optimization problems
- augmented lagrangian
- objective function
- total variation
- convex relaxation
- loss function
- convex constraints
- semidefinite program
- low rank matrix
- machine learning
- motion estimation
- computer vision
- norm minimization
- augmented lagrangian method
- basis pursuit