22 citations · 22 across the 1 of their papers we have counts for
2 papers
stat.ME2024★ 22 cited
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li, Yuan Gao, Hong Chang +11
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rap…
stat.CO2023
Mini-batch Gradient Descent with Buffer
Haobo Qi, Du Huang, Yingqiu Zhu +2
In this paper, we studied a buffered mini-batch gradient descent (BMGD) algorithm for training complex model on massive datasets. The algorithm studied here is designed for fast tr…