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English(EN) Joint stochastic localization and applications

新框架统一了概率测度的随机定位

研究人员开发了一个名为联合随机定位的新框架,将现有的路径分析技术扩展到高维概率和采样。该框架在 Eldan 的 $\alpha$-方案下统一和表征了现有过程,引入了一个使用共享布朗运动耦合概率测度的联合方案。由此产生的 Eldan $\alpha$-距离为测量概率测度之间的距离提供了一种新颖的方法,并分析了其理论性质,为特定情况开发了有效的估计器。 AI

排序理由 这是一篇详细介绍新数学框架及其应用的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv stat.ML 阅读 →

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新框架统一了概率测度的随机定位

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这是一篇详细介绍新数学框架及其应用的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Tom Alberts, Yiming Xu, Qiang Ye ·

    联合随机定位及应用

    arXiv:2505.13410v2 Announce Type: replace-cross Abstract: Stochastic localization is a pathwise analysis technique that has emerged as a powerful tool in high-dimensional probability and sampling. In this work, we extend stochastic localization to a joint framework for coupling p…