42 citations · 163 across the 36 of their papers we have counts for
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math.NA2016
Tighter bound of Sketched Generalized Matrix Approximation
Haishan Ye, Qiaoming Ye, Zhihua Zhang
Generalized matrix approximation plays a fundamental role in many machine learning problems, such as CUR decomposition, kernel approximation, and matrix low rank approximation. Esp…
math.OC2016★ 3 cited
Revisiting Sub-sampled Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
Many machine learning models depend on solving a large scale optimization problem. Recently, sub-sampled Newton methods have emerged to attract much attention for optimization due…