AI RESEARCH
Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
arXiv CS.LG
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ArXi:2505.08262v2 Announce Type: replace We study the classical binary classification problem for hypothesis spaces of Deep Neural Networks (DNNs) under Tsybako's low-noise condition with exponent $q>0$, as well as its limit case $q=\infty$, which we refer to as the \emph{hard margin condition