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Sep, 2021
从超参数化机器学习理论的角度看偏差-方差折中问题的再思考
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
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Yehuda Dar, Vidya Muthukumar, Richard G. Baraniuk
TL;DR
本文概述了“过参数化机器学习”的新理论,通过统计信号处理的角度解释最近研究发现的相应现象和结果,着重强调了这个研究领域的独特性和开放的问题。
Abstract
The rapid recent progress in
machine learning
(ML) has raised a number of scientific questions that challenge the longstanding dogma of the field. One of the most important riddles is the good empirical
generalization
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