Outlier-Robust Sparse Estimation via Non-Convex Optimization.
Yu ChengIlias DiakonikolasRong GeShivam GuptaDaniel KaneMahdi SoltanolkotabiPublished in: NeurIPS (2022)
Keyphrases
- convex optimization
- low rank matrix
- norm minimization
- low rank
- dense motion estimation
- basis pursuit
- low rank textures
- interior point methods
- rank minimization
- norm regularization
- total variation
- primal dual
- convex relaxation
- group lasso
- singular value decomposition
- sparse representation
- convex formulation
- image classification
- operator splitting
- image processing
- convex optimization problems
- kernel matrix
- image restoration
- semidefinite program
- low rank and sparse
- high dimensional
- pairwise