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English(EN) Pliable rejection sampling

研究人员引入使用核估计器的可塑性拒绝采样

研究人员引入了可塑性拒绝采样(PRS),这是一种旨在提高从复杂概率分布采样的效率的新颖方法。传统的拒绝采样方法通常会遇到高拒绝率,限制了其实际应用。PRS通过采用核估计器来学习采样提议来解决这个问题,在保证生成的样本是独立同分布且分布正确的同时,提供了关于接受样本数量的性能保证。 AI

影响 引入了一种新的统计技术,可以提高机器学习模型中采样的效率。

排序理由 该集群描述了一篇详细介绍新颖统计采样方法的学术论文。

在 arXiv stat.ML 阅读 →

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研究人员引入使用核估计器的可塑性拒绝采样

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该集群描述了一篇详细介绍新颖统计采样方法的学术论文。
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报道来源 [2]

  1. arXiv stat.ML TIER_1 English(EN) · Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric-Ambrym Maillard ·

    可塑性拒绝采样

    arXiv:2604.22385v1 Announce Type: new Abstract: Rejection sampling is a technique for sampling from difficult distributions. However, its use is limited due to a high rejection rate. Common adaptive rejection sampling methods either work only for very specific distributions or wi…

  2. arXiv stat.ML TIER_1 English(EN) · Odalric-Ambrym Maillard ·

    可弯曲拒绝采样

    Rejection sampling is a technique for sampling from difficult distributions. However, its use is limited due to a high rejection rate. Common adaptive rejection sampling methods either work only for very specific distributions or without performance guarantees. In this paper, we …