50 citations · 201 across the 25 of their papers we have counts for
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cs.LG2022★ 2 cited
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei, Rong Jin, Yiming Ying
While significant theoretical progress has been achieved, unveiling the generalization mystery of overparameterized neural networks still remains largely elusive. In this paper, we…
stat.ML2022★ 3 cited
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang, Yunwen Lei, Yiming Ying +1
Recently there is a large amount of work devoted to the study of Markov chain stochastic gradient methods (MC-SGMs) which mainly focus on their convergence analysis for solving min…
stat.ML2022★ 1 cited
Differentially Private Stochastic Gradient Descent with Low-Noise
Puyu Wang, Yunwen Lei, Yiming Ying +1
Modern machine learning algorithms aim to extract fine-grained information from data to provide accurate predictions, which often conflicts with the goal of privacy protection. Thi…