English(EN) Certify the Decision, Not Every Score: Exact Top-k Selection from Few Evaluations

新方法通过更少的评估认证前k算法的选择

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了认证自适应选择（CAS），一种通过最小化评估来选择前k个算法或调度的创新方法。CAS保证了预期缺口（ES）的下界和上界，ES代表最坏情况下的平均损失。该系统的停止测试将最佳允许排除的候选者与最差允许选定的候选者进行比较，为决策提供了充分必要条件。CAS-PG是一个由预测引导的代理，它优化了要评估的结果的选择，即使面对对抗性预测器也能确保精确性。 AI

影响这项研究通过减少所需的评估次数，有望提高AI系统中决策过程的效率和可靠性。

排序理由该条目是一篇学术论文，详细介绍了一种新的算法选择方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Yuhe Sui, Yingzhi Tang · 2026-10-15 04:00

认证决策而非每个分数：从少数评估中精确选择前k项

arXiv:2610.14996v1 Announce Type: new Abstract: Choosing a few robust algorithms or schedules can require evaluating every candidate under many adverse scenarios, even though an agent only needs to identify the winners. A predictor may suggest those winners, but cannot rule out a…

本文如何被排名

报道来源 [1]

认证决策而非每个分数：从少数评估中精确选择前k项

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