Randomized Iterative Methods for Matrix Approximation.
Joy AzzamBenjamin W. OngAllan A. StruthersPublished in: LOD (2021)
Keyphrases
- iterative methods
- matrix approximation
- least squares
- approximation error
- maximum entropy
- theoretical guarantees
- low rank matrix approximation
- computationally expensive
- constrained optimization
- image reconstruction from projections
- bregman divergences
- low rank matrix
- iterative algorithms
- neural model
- worst case
- low rank
- singular value decomposition
- mutual information
- feature vectors
- objective function
- neural network