Non-Convex Optimization with Spectral Radius Regularization.
Adam SandlerDiego KlabjanYuan LuoPublished in: CoRR (2021)
Keyphrases
- convex optimization
- inverse problems
- norm minimization
- convex formulation
- norm regularization
- augmented lagrangian
- augmented lagrangian method
- total variation
- low rank
- regularization methods
- interior point methods
- trace norm
- primal dual
- convex programming
- group lasso
- convex relaxation
- basis pursuit
- regularization method
- regularization term
- regularization parameter
- reproducing kernel hilbert space
- operator splitting
- minimization problems
- semi definite programming
- support vector
- blind deconvolution
- total variation regularization