Fast Generalized Matrix Regression with Applications in Machine Learning

27 Dec 2019Haishan YeShusen WangZhihua ZhangTong Zhang

Fast matrix algorithms have become the fundamental tools of machine learning in big data era. The generalized matrix regression problem is widely used in the matrix approximation such as CUR decomposition, kernel matrix approximation, and stream singular value decomposition (SVD), etc... (read more)

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