Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization.
Jianhao MaSalar FattahiPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- noisy measurements
- global convergence
- gradient method
- convergence rate
- optimization methods
- step size
- convergence speed
- global optimum
- image sequences
- optimization problems
- optimization method
- optimal solution
- image motion
- multiscale
- low rank matrix
- computer vision
- multi objective
- simulated annealing
- neural network
- low rank