Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate.
Ziye MaSomayeh SojoudiPublished in: CoRR (2022)
Keyphrases
- convergence rate
- faster convergence rate
- global convergence
- low rank matrix
- step size
- convergence speed
- learning rate
- low rank
- optimization problems
- primal dual
- genetic algorithm
- gradient method
- k means
- convex optimization
- data sets
- number of iterations required
- denoising
- search space
- matrix factorization
- learning algorithm
- missing data
- optimization algorithm
- data analysis
- feature extraction
- image processing