English(EN) Post-ADC Inference: Valid Inference After Active Data Collection

新框架支持对主动收集的数据进行有效统计推断

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-12 04:27

研究人员引入了一个名为ADC后推断的新框架，以解决通过主动数据收集（ADC）收集的数据在后续推断任务中重用时，统计有效性面临的挑战。该方法考虑了数据收集过程和数据依赖的目标构建引入的偏差。该框架旨在提供有效的p值和置信区间，适用于各种ADC过程，而无需对底层黑盒函数或代理模型做出严格假设。 AI

影响使使用主动数据收集的机器学习工作流程中的统计分析更加可靠。

排序理由该集群包含一篇详细介绍新统计推断框架的学术论文。

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

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 该集群包含一篇详细介绍新统计推断框架的学术论文。
Source corroboration: 2 independent sources; Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 113 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

arXiv stat.ML TIER_1 English(EN) · Shuichi Nishino, Tomohiro Shiraishi, Teruyuki Katsuoka, Ichiro Takeuchi · 2026-05-13 04:00

ADC后推理：主动数据收集后的有效推理

arXiv:2605.11511v1 Announce Type: new Abstract: The validity of statistical inference depends critically on how data are collected. When data gathered through active data collection (ADC) are reused for a post-hoc inferential task, conventional inference can fail because the samp…
arXiv stat.ML TIER_1 English(EN) · Ichiro Takeuchi · 2026-05-12 04:27

ADC后推理：主动数据收集后的有效推理

The validity of statistical inference depends critically on how data are collected. When data gathered through active data collection (ADC) are reused for a post-hoc inferential task, conventional inference can fail because the sampling is adaptively biased toward regions favored…