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cs.LG2023
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Mingze Wang, Zeping Min, Lei Wu
In this work, we investigate the margin-maximization bias exhibited by gradient-based algorithms in classifying linearly separable data. We present an in-depth analysis of the spec…
cs.LG2023★ 1 cited
A Theoretical Analysis of Noise Geometry in Stochastic Gradient Descent
Mingze Wang, Lei Wu
In this paper, we provide a theoretical study of noise geometry for minibatch stochastic gradient descent (SGD), a phenomenon where noise aligns favorably with the geometry of loca…