Training invariances and the low-rank phenomenon: beyond linear networks.
Thien LeStefanie JegelkaPublished in: CoRR (2022)
Keyphrases
- low rank
- low rank matrix
- missing data
- matrix factorization
- convex optimization
- linear combination
- matrix completion
- rank minimization
- singular value decomposition
- semi supervised
- matrix decomposition
- kernel matrix
- training set
- high order
- trace norm
- high dimensional data
- low rank matrices
- singular values
- data sets
- robust principal component analysis
- machine learning
- minimization problems
- complex networks
- image processing