Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing.
Shuyao LiYu ChengIlias DiakonikolasJelena DiakonikolasRong GeStephen J. WrightPublished in: NeurIPS (2023)
Keyphrases
- low rank matrix
- convex optimization
- low rank
- low rank matrices
- nuclear norm
- optimization problems
- norm minimization
- matrix factorization
- approximation methods
- sparse matrix
- low rank matrix recovery
- singular value decomposition
- kernel matrix
- low rank and sparse
- convex relaxation
- linear combination
- nonlinear programming
- neural network
- natural images
- rank minimization
- higher order
- least squares
- reinforcement learning
- low rank textures
- machine learning