English(EN) Hypothesis Selection via Weighted Medians

新算法通过加权中位数改进假设选择

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

研究人员开发了一种新的假设选择算法，该算法改进了现有方法。该算法使用加权中位数，需要更少的样本和更少的时间即可实现近乎最优的近似因子。它将对失败概率的依赖性从多项式降低到对数，解决了先前工作提出的一个问题。 AI

排序理由该集群包含一篇在 arXiv 上发表的关于新算法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该集群包含一篇在 arXiv 上发表的关于新算法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Liang-Yu Zou · 2026-10-15 04:00

Hypothesis Selection via Weighted Medians

arXiv:2610.20375v1 Announce Type: cross Abstract: Given $n$ distributions (hypotheses) $\mathcal H=\{H_1,\ldots,H_n\}$ and samples from an unknown target distribution $P$, proper hypothesis selection seeks a distribution whose total variation distance to $P$ is close to the best …