English(EN) Rapid mixing in positively weighted restricted Boltzmann machines

显示了受限玻尔兹曼机采样的新界限

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-26 04:00

研究人员已经证明了应用于正加权受限玻尔兹曼机的交替扫描采样器的新混合时间界限。该分析利用了马尔可夫链理论和铁磁双自旋系统的Glauber动力学技术，建立了延伸至临界阈值的界限。这项工作有助于更深入地理解这些特定机器学习模型的采样效率。 AI

影响为特定机器学习模型的采样效率提供了理论见解。

排序理由这是一篇发表在arXiv上的研究论文，详细介绍了机器学习算法的理论进展。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Weiming Feng, Heng Guo, Minji Yang · 2026-05-26 04:00

具有正权重的受限玻尔兹曼机的快速混合

arXiv:2604.00963v2 Announce Type: replace-cross Abstract: We show polylogarithmic mixing time bounds for the alternating-scan sampler for positively weighted restricted Boltzmann machines. This is done via analysing the same chain and the Glauber dynamics for ferromagnetic two-sp…