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English(EN) The Geometry of Randomized Smoothing on Feasible Sets

新论文探讨随机平滑在可行集上的几何学

研究人员 Alireza Furutanpey 和 Ruevo ny 在 arXiv 上发表了一篇论文,详细介绍了随机平滑在可行集上的几何学。他们的工作引入了一种通过过滤提案来认证标签概率的方法,这可以导致认证包含决策边界的球体。该论文将问题分为几何和认证问题,探讨了条件化如何保持高斯比较以及对认证半径的影响。 AI

排序理由 该集群包含一篇发表在 arXiv 上的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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新论文探讨随机平滑在可行集上的几何学

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该集群包含一篇发表在 arXiv 上的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Syed Izhan Khilji, Alireza Furutanpey, Schahram Dustdar ·

    可行的集合上的随机平滑的几何学

    arXiv:2609.39497v1 Announce Type: cross Abstract: Randomized smoothing certifies the probability of a fixed output event as the center of Gaussian noise moves. Feasibility or confidence filtering reports label probabilities only among retained proposals, producing a ratio. Its nu…