Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems.
Dan GarberAtara KaplanPublished in: CoRR (2022)
Keyphrases
- low rank matrix
- low rank
- optimization problems
- convex optimization
- missing data
- matrix factorization
- linear combination
- singular value decomposition
- matrix decomposition
- nuclear norm
- semi supervised
- matrix completion
- kernel matrix
- low rank matrix recovery
- rank minimization
- low rank matrices
- high dimensional data
- objective function
- high order
- optimization methods
- data matrix
- minimization problems
- pattern recognition
- machine learning
- dimensionality reduction
- sparse matrix
- least squares
- pairwise
- low rank and sparse