Deutsch(DE) Kernel Ridge Regression Inference

新研究为核岭回归提供置信区间

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-23 04:00

一篇新的arXiv论文介绍了一种用于核岭回归（KRR）的统一置信区间方法。KRR是一种用于分析非标准数据（如偏好和图）的方法。该研究提供了一种自举程序，该程序使用反对称乘子来实现效率和有效性，即使在模型错误指定的情况下也是如此。该程序可用于开发匹配效应的检验，例如确定学生是否从他们排名靠前的学校中获益更多。 AI

影响为分析复杂数据所用的统计方法提供了理论进展，可能提高AI模型的可解释性和鲁棒性。

排序理由该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Tool; 该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

arXiv stat.ML TIER_1 Deutsch(DE) · Rahul Singh, Suhas Vijaykumar · 2026-07-23 04:00

核脊回归推断

arXiv:2302.06578v4 Announce Type: replace-cross Abstract: We provide uniform confidence bands for kernel ridge regression (KRR), a widely used nonparametric regression estimator for nonstandard data such as preferences, sequences, and graphs. Despite the prevalence of these data-…

本文如何被排名

报道来源 [1]

核脊回归推断

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