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An Improved Uniform Convergence Bound with Fat-Shattering Dimension

作     者:Colomboni, Roberto Esposito, Emmanuel Paudice, Andrea 

作者机构:Department of Computer Science Università degli Studi di Milano Via Giovanni Celoria 18 Milan20131 Italy Computational Statistics and Machine Learning Istituto Italiano di Tecnologia Via Enrico Melen 83 Genoa16152 Italy 

出 版 物:《SSRN》 

年 卷 期:2023年

核心收录:

摘      要:The fat-shattering dimension characterizes the uniform convergence property of real-valued functions. The state-of-the-art upper bounds feature a multiplicative squared logarithmic factor on the sample complexity, leaving an open gap with the existing lower bound. We provide an improved uniform convergence bound that closes this gap. © 2023, The Authors. All rights reserved.

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