English(EN) Algorithmic stability via ensembling

新框架量化集成中的算法稳定性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-09 16:39

本文介绍了一个量化算法稳定性的通用框架，重点关注使用平均法的集成策略。核心理论发现是对集成算法的稳定性保证，该保证源于表征集成过程的特定协方差算子的范数。作者们展示了该框架如何为各种实际数据扰动场景提供清晰的见解，并提供比仅基于隐私的保证更精确的保证。 AI

影响提供了一个理论框架，用于理解和改进机器学习算法对输入扰动的鲁棒性。

排序理由该项目是一篇研究论文，讨论了算法稳定性的理论框架。[lever_c_demoted from research: ic=1 ai=1.0]

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Hugging Face Daily Papers TIER_1 English(EN) · 2026-09-09 16:39

通过集成实现算法稳定性

Algorithmic stability refers to the property of an algorithm being insensitive to perturbations of the input data, where the type of perturbation may vary depending on the setting. In this work, we develop a general framework to quantify the extent to which any ensembling strateg…