Regularization for Sparse Convex Optimization.
Kyriakos AxiotisTaisuke YasudaPublished in: CoRR (2023)
Keyphrases
- convex optimization
- norm regularization
- basis pursuit
- inverse problems
- group lasso
- low rank
- convex formulation
- norm minimization
- convex relaxation
- sparse approximation
- rank minimization
- interior point methods
- augmented lagrangian
- kernel matrices
- low rank matrix
- total variation
- regularization methods
- primal dual
- convex optimization problems
- augmented lagrangian method
- trace norm
- regularization method
- denoising
- sparse coding
- low rank and sparse
- computer vision
- semi supervised
- pairwise