On Convex Optimization with Semi-Sensitive Features.
Badih GhaziPritish KamathRavi KumarPasin ManurangsiRaghu MekaChiyuan ZhangPublished in: COLT (2024)
Keyphrases
- convex optimization
- feature vectors
- convex relaxation
- feature set
- low rank
- computer vision
- feature extraction
- convex optimization problems
- total variation
- primal dual
- feature space
- interior point methods
- convex formulation
- machine learning
- norm minimization
- partial differential equations
- optimization problems
- evolutionary algorithm
- multiscale
- feature selection