Sparse Convex Optimization via Adaptively Regularized Hard Thresholding.
Kyriakos AxiotisMaxim SviridenkoPublished in: ICML (2020)
Keyphrases
- convex optimization
- basis pursuit
- norm minimization
- denoising
- hard thresholding
- total variation
- low rank
- group lasso
- low rank matrix
- image denoising
- interior point methods
- regularization methods
- sparse representation
- convex optimization problems
- inverse problems
- trace norm
- image processing
- convex relaxation
- primal dual
- gaussian noise
- markov random field
- alternating direction method of multipliers
- pairwise