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新的 Wasserstein 空间能量信任域优化方法

研究人员开发了一种在 Wasserstein 空间中最小化势相互作用能量的信任域优化方法,该技术可用于寻找粒子的低能构型和近似概率分布。该方法利用二阶信息和沿推前曲线的二次模型,具有 $L^2( ho)$ 步长半径和 Steihaug-Toint 子求解器。这种方法保证了收敛到驻点,并通过涉及平滑软粒子能量和最大均值差异最小化的数值实验进行了证明。 AI

影响 为与机器学习相关的复杂能量最小化问题引入了一种新颖的优化技术。

排序理由 详细介绍新优化方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

新的 Wasserstein 空间能量信任域优化方法

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详细介绍新优化方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · You Wan, Ting Gao, Jinqiao Duan ·

    Wasserstein空间中光滑势能相互作用的信任区域优化

    arXiv:2610.08883v1 Announce Type: cross Abstract: Finding low-energy configurations of interacting particles and approximating probability distributions lead to the minimization of potential-interaction energies in Wasserstein space. These energies can be nonconvex, making it imp…