Sharpness-Aware Minimization Leads to Low-Rank Features.
Maksym AndriushchenkoDara BahriHossein MobahiNicolas FlammarionPublished in: CoRR (2023)
Keyphrases
- low rank
- convex optimization
- feature vectors
- minimization problems
- low rank matrix
- matrix factorization
- missing data
- linear combination
- high dimensional data
- image features
- data mining
- matrix completion
- semi supervised
- feature extraction
- singular value decomposition
- nearest neighbor
- data analysis
- feature analysis
- interior point methods
- objective function
- data sets
- rank minimization