Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing.
Shuyao LiYu ChengIlias DiakonikolasJelena DiakonikolasRong GeStephen J. WrightPublished in: CoRR (2024)
Keyphrases
- low rank matrix
- convex optimization
- low rank
- nuclear norm
- low rank matrices
- norm minimization
- optimization problems
- singular value decomposition
- matrix factorization
- approximation methods
- low rank matrix recovery
- sparse matrix
- convex relaxation
- nonlinear programming
- higher order
- rank minimization
- low rank and sparse
- neural network
- random projections
- fixed point
- low rank textures
- collaborative filtering