2 citations · 4 across the 4 of their papers we have counts for
4 papers
A Unified Analysis for Finite Weight Averaging
Peng Wang, Li Shen, Zerui Tao +3
Averaging iterations of Stochastic Gradient Descent (SGD) have achieved empirical success in training deep learning models, such as Stochastic Weight Averaging (SWA), Exponential M…
Stability and Generalization for Distributed SGDA
Miaoxi Zhu, Yan Sun, Li Shen +2
Minimax optimization is gaining increasing attention in modern machine learning applications. Driven by large-scale models and massive volumes of data collected from edge devices,…
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
Ziyi Zhang, Li Shen, Sen Zhang +6
Few-step diffusion models enable efficient high-resolution image synthesis but struggle to align with specific downstream objectives due to limitations of existing reinforcement le…
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Miaoxi Zhu, Li Shen, Bo Du +1
The growing size of available data has attracted increasing interest in solving minimax problems in a decentralized manner for various machine learning tasks. Previous theoretical…