Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate.
Ziye MaSomayeh SojoudiPublished in: AISTATS (2023)
Keyphrases
- convergence rate
- faster convergence rate
- low rank matrix
- global convergence
- step size
- convergence speed
- learning rate
- low rank
- genetic algorithm
- number of iterations required
- singular value decomposition
- primal dual
- missing data
- matrix factorization
- convex optimization
- optimization algorithm
- optimization problems
- approximation methods
- least squares
- state space
- negative matrix factorization
- k means
- evolutionary algorithm
- objective function
- neural network