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Oct, 2024
哪些算法具有紧凑的泛化界限？
Which Algorithms Have Tight Generalization Bounds?
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Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
TL;DR
本研究解决了机器学习算法的紧凑泛化界限的问题。论文提出了导致紧凑泛化界限不存在的条件，特别指出不稳定的归纳偏差算法的局限性，并证明稳定算法具有紧凑的泛化界限。研究结果表明，紧凑泛化界限的存在与算法损失的条件方差密切相关，对机器学习算法的设计与评估有重要影响。
Abstract
We study which
Machine Learning
algorithms have tight
Generalization Bounds
. First, we present conditions that preclude the existence of tight
Ge
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