3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Almost Sure Saddle Avoidance of Stochastic Gradient Methods without the Bounded Gradient Assumption
Jun Liu, Ye Yuan
We prove that various stochastic gradient descent methods, including the stochastic gradient descent (SGD), stochastic heavy-ball (SHB), and stochastic Nesterov's accelerated gradi…
math.OC2022★ 2 cited
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees
Milad Farsi, Yinan Li, Ye Yuan +1
We propose a piecewise learning framework for controlling nonlinear systems with unknown dynamics. While model-based reinforcement learning techniques in terms of some basis functi…
cs.LG2021★ 3 cited
DeceFL: A Principled Decentralized Federated Learning Framework
Ye Yuan, Jun Liu, Dou Jin +12
Traditional machine learning relies on a centralized data pipeline, i.e., data are provided to a central server for model training. In many applications, however, data are inherent…