English(EN) Is Randomness Necessary for Adaptive Data Analysis?

论文质疑随机性在自适应数据分析中的必要性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-08 07:17

arXiv上的一篇新论文探讨了随机性在自适应数据分析（ADA）中的必要性。研究表明，对于计算能力不受限制的分析者而言，要回答超过微不足道的自适应查询数量，随机性是绝对必需的。没有随机性，确定性机制最多只能支持大约 O(n) 次查询，而随机性机制最多可以支持 O(n^2) 次查询。 AI

影响这项研究阐明了数据分析的理论限制，可能会影响AI模型在数据集被反复访问时的训练和评估方式。

排序理由该集群包含一篇讨论理论计算机科学概念的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Research; 该集群包含一篇讨论理论计算机科学概念的学术论文。
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arXiv cs.LG TIER_1 English(EN) · Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Sapir, Uri Stemmer · 2026-07-09 04:00

自适应数据分析是否需要随机性？

arXiv:2607.07085v1 Announce Type: cross Abstract: The Adaptive Data Analysis (ADA) problem formalizes the challenge of preventing false discovery and overfitting when a dataset is repeatedly reused. Formally, our input is a dataset containing $n$ i.i.d. samples from an unknown di…
arXiv cs.LG TIER_1 English(EN) · Uri Stemmer · 2026-07-08 07:17

自适应数据分析是否需要随机性？

The Adaptive Data Analysis (ADA) problem formalizes the challenge of preventing false discovery and overfitting when a dataset is repeatedly reused. Formally, our input is a dataset containing $n$ i.i.d. samples from an unknown distribution $\mathcal{P}$ over a domain $\mathcal{X…