2 citations · 4 across the 3 of their papers we have counts for
3 papers
math.OC2020★ 2 cited
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Xunpeng Huang, Hao Zhou, Runxin Xu +2
Adaptive gradient methods have attracted much attention of machine learning communities due to the high efficiency. However their acceleration effect in practice, especially in neu…
math.OC2020★ 2 cited
SPAN: A Stochastic Projected Approximate Newton Method
Xunpeng Huang, Xianfeng Liang, Zhengyang Liu +4
Second-order optimization methods have desirable convergence properties. However, the exact Newton method requires expensive computation for the Hessian and its inverse. In this pa…
math.FA2016
Quantifications of strictly singular operators and strictly cosingular operators
Lei Li, Dongyang Chen
We investigate possible quantifications of strictly singular operators, -strictly singular operators, -strictly singular operators, strictly cosingular operators, $l_…