Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence.
Vasileios CharisopoulosYudong ChenDamek DavisMateo DíazLijun DingDmitriy DrusvyatskiyPublished in: Found. Comput. Math. (2021)
Keyphrases
- rapid convergence
- line search
- learning rate
- high accuracy
- low rank matrix recovery
- low rank
- low rank and sparse
- particle swarm optimisation
- optimization methods
- optimization method
- optimization algorithm
- feature space
- global optimization
- feature selection
- step size
- primal dual
- evolution strategy
- robust face recognition
- parameter estimation
- image classification
- high dimensional
- objective function