Implicit regularization for convex regularizers.
Cesare MolinariMathurin MassiasLorenzo RosascoSilvia VillaPublished in: CoRR (2020)
Keyphrases
- regularization methods
- total variation
- minimization problems
- risk minimization
- color image restoration
- mumford shah
- convex optimization
- convex formulation
- fidelity term
- augmented lagrangian
- regularization parameter
- empirical risk
- piecewise linear
- regularization term
- augmented lagrangian method
- convex hull
- penalty functions
- regularization method
- linear combination
- inverse problems
- edge preserving
- image restoration
- piecewise constant
- half quadratic
- optimal kernel
- representer theorem
- convex programming
- convex relaxation
- regularization framework
- heavy tailed
- curve evolution
- parameter selection
- total variation regularization
- globally optimal
- energy functional
- cross validation
- denoising