Generalization of Scaled Deep ResNets in the Mean-Field Regime

The dataset used in the paper is a binary classification dataset, where the goal is to find a hypothesis (i.e., a ResNet used in this work) f : X → Y such that f (x; Θ) parameterized by Θ is a good approximation of the label y ∈ Y corresponding to a new sample x ∈ X.

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Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher (2024). Dataset: Generalization of Scaled Deep ResNets in the Mean-Field Regime. https://doi.org/10.57702/lw1bqay8

DOI retrieved: December 3, 2024

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Created December 3, 2024
Last update December 3, 2024
Author Yihang Chen
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Fanghui Liu
Yiping Lu
Grigorios G. Chrysos
Volkan Cevher