The Generalization Error Bound for A Stochastic Gradient Descent Family bia A Gaussian Approximation Method

Recent works have developed model complexity based and algorithm based generalization error bounds to explain how stochastic gradient descent (SGD) methods help over-parameterized models generalize better. However, previous works are limited by their scope of analysis and fail to provide comprehensi...

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Bibliographic Details
Main Authors: Chen Hao, Mo Zhanfeng, Yang Zhouwang
Format: Article
Language:English
Published: Sciendo 2025-06-01
Series:International Journal of Applied Mathematics and Computer Science
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Online Access:https://doi.org/10.61822/amcs-2025-0018
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