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条件核 Stein 差异论文发布

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2026年10月9日12:00，arXiv（Statistics Machine Learning 分类，一手来源）发布关于条件核 Stein 差异的论文。论文提出条件核 Stein 差异（Conditional Kernel Stein Discrepancy）框架，用于量化条件拟合优度；该框架适用于仅有（可能未归一化）条件目标模型、协变量分布未知且仅有联合分布样本的情形。目前报道仅涉及该论文及其提出的框架，未见后续验证、评论或争议信息。

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LatestOct 9
arXiv 发布条件核 Stein 差异论文，提出用于量化条件拟合优度的新框架。

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Oct 9, 2026
  1. arXiv · Statistics Machine Learning
    条件核 Stein 差异

    论文提出条件核 Stein 差异（Conditional Kernel Stein Discrepancy）框架，用于在仅有（可能未归一化）条件目标模型、协变量分布未知且仅有联合分布样本时，量化条件拟合优度。

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