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.DC2023
Colorless Tasks and Extension-Based Proofs
Yusong Shi, Weidong Liu
The concept of extension-based proofs models the idea of a valency argument, which is widely used in distributed computing. Extension-based proofs are limited in power: it has been…