On Low-rank Trace Regression under General Sampling Distribution.
Nima HamidiMohsen BayatiPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- low rank
- matrix factorization
- convex optimization
- low rank matrix
- linear combination
- singular value decomposition
- rank minimization
- semi supervised
- matrix completion
- kernel matrix
- high dimensional data
- low rank approximation
- regression model
- missing data
- model selection
- support vector
- high order
- random sampling
- minimization problems
- matrix decomposition
- low rank matrices