59 citations · 74 across the 16 of their papers we have counts for
Showing 2021 · stat.MEShow all
3 papers · 2 filters
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
Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse
Yimeng Ren, Xuening Zhu, Guanyu Hu
Vector autoregression model is ubiquitous in classical time series data analysis. With the rapid advance of social network sites, time series data over latent graph is becoming inc…
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…