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Apr, 2023
Wasserstein PAC-Bayes学习:泛化和优化之间的桥梁
Wasserstein PAC-Bayes Learning: A Bridge Between Generalisation and Optimisation
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Maxime Haddouche, Benjamin Guedj
TL;DR
在训练之前，利用PAC-Bayes和优化算法之间的联系，扩展Wasserstein PAC-Bayes框架，基于损失函数的几何假设提供新的泛化界，并证明了算法输出具有强大的渐近泛化能力。
Abstract
pac-bayes learning
is an established framework to assess the
generalisation ability
of learning algorithm during the training phase. However, it remains challenging to know whether PAC-Bayes is useful to understa
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