Learning Sparsity and Randomness for Data-driven Low Rank Approximation

Tiejin Chen, Yicheng Tao

Learning-based low rank approximation algorithms can significantly improve the performance of randomized low rank approximation with sketch matrix. With the learned value and fixed…