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English(EN) Explicit Bounds on the Entropy of Piecewise H\"{o}lder Graphon Models

新研究探讨图模型中的熵界限

Connor Loehde-WoolardarXiv 上发表了一篇新论文,详细介绍了分段 Hölder 连续图模型熵的显式界限。该研究提出了关于图大小增加时归一化熵收敛速率的结果,详细证明可在附录中找到。这项工作推导了随机块模型和随机几何图模型的定量界限,提供了显式公式而非渐近陈述。 AI

影响 这项研究有助于加深对图模型的理论理解,这可能在机器学习和数据分析中产生下游应用。

排序理由 该集群包含一篇在 arXiv 上发表的新学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv stat.ML 阅读 →

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新研究探讨图模型中的熵界限

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该集群包含一篇在 arXiv 上发表的新学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Connor Loehde-Woolard, Fran\c{c}ois G. Meyer ·

    分段 Hölder 图形模型熵的显式界限

    arXiv:2608.26501v1 Announce Type: cross Abstract: We study the entropy of random graphs generated by piecewise H\"{o}lder continuous graphons. We first present a result on the rate of convergence of the normalized entropy as the size of the graph grows. The core ideas of the proo…