21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality
Kejie Tang, Weidong Liu, Yichen Zhang +1
Stochastic gradient descent with momentum (SGDM) has been widely used in many machine learning and statistical applications. Despite the observed empirical benefits of SGDM over tr…
cs.LG2020★ 21 cited
Online Influence Maximization under Linear Threshold Model
Shuai Li, Fang Kong, Kejie Tang +2
Online influence maximization (OIM) is a popular problem in social networks to learn influence propagation model parameters and maximize the influence spread at the same time. Most…