47 citations · 317 across the 48 of their papers we have counts for
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math.OC2019★ 2 cited
Error Lower Bounds of Constant Step-size Stochastic Gradient Descent
Zhiyan Ding, Yiding Chen, Qin Li +1
Stochastic Gradient Descent (SGD) plays a central role in modern machine learning. While there is extensive work on providing error upper bound for SGD, not much is known about SGD…
math.OC2018★ 2 cited
Randomized sampling for basis functions construction in generalized finite element methods
Ke Chen, Qin Li, Jianfeng Lu +1
In the framework of generalized finite element methods for elliptic equations with rough coefficients, efficiency and accuracy of the numerical method depend critically on the use…
math.OC2017★ 21 cited
Online learning in optical tomography: a stochastic approach
Ke Chen, Qin Li, Jian-Guo Liu
We study the inverse problem of radiative transfer equation (RTE) using stochastic gradient descent method (SGD) in this paper. Mathematically, optical tomography amounts to recove…