English(EN) Identification and Inference for Algorithmic Frontiers with Selective Labels

新的计量经济学论文详细介绍了公平性-准确性前沿推断

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-16 04:00

本文介绍了一种识别和推断公平性-准确性前沿的方法，这是计量经济学中的一个关键概念。所提出的技术允许进行假设检验和构建该前沿的置信集，特别是在结果数据仅对部分个体可用时。研究对特定选择过程和损失度量下的FA-前沿的识别区域进行了表征，目前正在扩展到更广泛的损失函数。 AI

排序理由该集群包含一篇在arXiv上发表的学术论文，详细介绍了计量经济学中的新理论结果。[lever_c_demoted from research: ic=1 ai=0.4]

AI 生成摘要 · Google Gemini · 来自 1 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: Tool; 该集群包含一篇在arXiv上发表的学术论文，详细介绍了计量经济学中的新理论结果。[lever_c_demoted from research: ic=1 ai=0.4]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: 125 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 cs.LG TIER_1 English(EN) · Yiqi Liu, Francesca Molinari, Amilcar Velez · 2026-06-16 04:00

具有选择性标签的算法前沿的识别与推理

arXiv:2606.14977v1 Announce Type: cross Abstract: This paper provides identification results to characterize a fairness-accuracy (FA) frontier, and statistical inference tools to test hypotheses and build a confidence set for the FA-frontier, when outcomes are observed only for s…