English(EN) Quantitative Local Convergence of Mean-Field Stein Variational Gradient Flow

新论文量化了 SVGD 均值场收敛率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-10 10:15

研究人员为 Stein 变分梯度下降 (SVGD) 的均值场极限建立了定量局部收敛率。这种确定性粒子方法通过利用得分函数从概率测度中采样。新的发现提供了 L2 范数中显式的多项式收敛率，具体取决于维度和核/目标正则性，并通过数值实验得到支持。 AI

影响为一种采样方法建立了理论收敛率，有可能提高生成模型的效率。

排序理由该集群包含一篇详细介绍机器学习新理论结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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arXiv stat.ML TIER_1 English(EN) · Xavier Fernández-Real · 2026-05-10 10:15

均值场 Stein 变分梯度流的量化局部收敛性

Stein Variational Gradient Descent (SVGD) is a deterministic interacting-particle method for sampling from a target probability measure given access to its score function. In the mean-field and continuous-time limit, it is known that the flow converges weakly toward the target, b…