22 citations · 26 across the 13 of their papers we have counts for
Showing 2023Show all
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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…
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…