Gradient Descent for Low-Rank Functions.
Romain CossonAli JadbabaieAnuran MakurAmirhossein ReisizadehDevavrat ShahPublished in: CoRR (2022)
Keyphrases
- low rank
- linear combination
- convex optimization
- matrix factorization
- missing data
- low rank matrix
- singular value decomposition
- matrix completion
- rank minimization
- kernel matrix
- matrix decomposition
- high order
- minimization problems
- cost function
- semi supervised
- low rank matrices
- higher order
- trace norm
- low rank approximation
- low rank representation
- robust principal component analysis
- data matrix
- nonnegative matrix factorization
- high dimensional data
- active learning
- non rigid structure from motion
- pattern recognition
- learning process
- data sets