Sub-sampled Cubic Regularization for Non-convex Optimization.
Jonas Moritz KohlerAurélien LucchiPublished in: CoRR (2017)
Keyphrases
- convex optimization
- inverse problems
- norm minimization
- convex formulation
- augmented lagrangian
- norm regularization
- total variation
- interior point methods
- augmented lagrangian method
- regularization methods
- low rank
- trace norm
- primal dual
- convex optimization problems
- basis pursuit
- convex programming
- regularization method
- group lasso
- convex relaxation
- regularization parameter
- semidefinite program
- reproducing kernel hilbert space
- regularization term
- total variation regularization
- image denoising
- bit rate
- multiresolution
- image segmentation