22 citations · 22 across the 3 of their papers we have counts for
3 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…
cs.LG2023
Quasi-Newton Updating for Large-Scale Distributed Learning
Shuyuan Wu, Danyang Huang, Hansheng Wang
Distributed computing is critically important for modern statistical analysis. Herein, we develop a distributed quasi-Newton (DQN) framework with excellent statistical, computation…
stat.ME2023
Subsampling-Based Modified Bayesian Information Criterion for Large-Scale Stochastic Block Models
Jiayi Deng, Danyang Huang, Xiangyu Chang +1
Identifying the number of communities is a fundamental problem in community detection, which has received increasing attention recently. However, rapid advances in technology have…