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English(EN) No Screening is More Efficient with Multiple Objects

研究发现:对象多样性越多,无筛选最优

一篇新发表在arXiv上的论文探讨了在筛选成本高昂的情况下,分配机制的效率。研究表明,随着可用对象多样性的增加,无筛选机制的表现更好。在累积分布函数(CDF)值呈对数凹函数的连续市场中,该问题简化为代理人的最佳选项价值,这表明更多的选项减少了筛选的必要性。该研究描述了无筛选最优的条件,并证明了其在多样性扩展下的持续有效性,对疫苗预约调度等系统具有启示意义。 AI

排序理由 在arXiv上发表的学术论文,详细阐述了理论经济学发现。[lever_c_demoted from research: ic=1 ai=0.1]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

研究发现:对象多样性越多,无筛选最优

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在arXiv上发表的学术论文,详细阐述了理论经济学发现。[lever_c_demoted from research: ic=1 ai=0.1]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shunya Noda, Genta Okada ·

    多目标无筛选更高效

    arXiv:2408.10077v4 Announce Type: replace-cross Abstract: We study the welfare-maximizing allocation of heterogeneous objects when screening uses costly effort rather than monetary transfers. No-screening mechanisms perform well as object variety increases. In a symmetric continu…