60 citations · 209 across the 14 of their papers we have counts for
Showing 2021Show all
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stat.ME2021★ 3 cited
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
Yuan Gao, Xuening Zhu, Haobo Qi +3
Momentum methods have been shown to accelerate the convergence of the standard gradient descent algorithm in practice and theory. In particular, the minibatch-based gradient descen…
stat.ME2021★ 1 cited
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
Rui Pan, Yingqiu Zhu, Baishan Guo +2
The emergence of massive data in recent years brings challenges to automatic statistical inference. This is particularly true if the data are too numerous to be read into memory as…
stat.ME2021★ 1 cited
On the Subbagging Estimation for Massive Data
Tao Zou, Xian Li, Xuan Liang +1
This article introduces subbagging (subsample aggregating) estimation approaches for big data analysis with memory constraints of computers. Specifically, for the whole dataset wit…