A new perspective on low-rank optimization.
Dimitris BertsimasRyan Cory-WrightJean PauphiletPublished in: CoRR (2021)
Keyphrases
- low rank
- convex optimization
- nuclear norm
- missing data
- low rank matrix
- linear combination
- matrix factorization
- matrix completion
- matrix decomposition
- singular value decomposition
- rank minimization
- high order
- kernel matrix
- semi supervised
- trace norm
- norm minimization
- low rank matrices
- optimization methods
- data matrix
- singular values
- high dimensional data
- neural network
- decision trees
- non rigid structure from motion
- low rank representation
- data sets