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20142026
most citedThe generalization error of max-margin linear classifiers: Benign overfitting and high dimensional asymptotics in the overparametrized regime

88 citations · 333 across the 26 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

math.ST2023

A Theory of Feature Learning in Kernel Models

Yunlu Chen, Yang Li, Keli Liu +1

We study feature learning in a compositional variant of kernel ridge regression in which the predictor is applied to a learnable linear transformation of the input. When the respon…

math.ST2023★ 2 cited

Universality of max-margin classifiers

Andrea Montanari, Feng Ruan, Basil Saeed +1

Maximum margin binary classification is one of the most fundamental algorithms in machine learning, yet the role of featurization maps and the high-dimensional asymptotics of the m…