Sub-sampled Cubic Regularization for Non-convex Optimization.
Jonas Moritz KohlerAurélien LucchiPublished in: ICML (2017)
Keyphrases
- convex optimization
- inverse problems
- norm minimization
- total variation
- convex formulation
- norm regularization
- augmented lagrangian
- low rank
- interior point methods
- regularization methods
- augmented lagrangian method
- trace norm
- minimization problems
- convex relaxation
- convex programming
- basis pursuit
- regularization method
- blind deconvolution
- primal dual
- regularization term
- convex optimization problems
- total variation regularization
- regularization parameter
- image restoration
- group lasso
- low rank matrix
- image processing
- semidefinite program
- natural images
- feature space