123 citations · 711 across the 24 of their papers we have counts for
Showing 2023 · stat.MLShow all
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stat.ML2023★ 1 cited
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
Lei Wu, Weijie J. Su
In this paper, we study the implicit regularization of stochastic gradient descent (SGD) through the lens of {\em dynamical stability} (Wu et al., 2018). We start by revising exist…
stat.ML2023★ 1 cited
Embedding Inequalities for Barron-type Spaces
Lei Wu
An important problem in machine learning theory is to understand the approximation and generalization properties of two-layer neural networks in high dimensions. To this end, resea…
stat.ML2023
A duality framework for analyzing random feature and two-layer neural networks
Hongrui Chen, Jihao Long, Lei Wu
We consider the problem of learning functions within the and Barron spaces, which play crucial roles in understanding random feature models (RFMs), two-layer ne…