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English(EN) Local exponential stability of mean-field Langevin descent-ascent and associated particle system

平均场 Langevin 动力学显示局部指数稳定性

研究人员已经确立了平均场 Langevin 下降-上升 (MFL-DA) 动力学及其相关粒子系统的局部指数稳定性。这项工作解决了 Wang 和 Chizat 关于 MFL-DA 在一般非凸-非凹博弈中收敛到混合纳什均衡的收敛速率的问题。研究结果表明,如果初始状态接近平衡,则在 Wasserstein 空间中收敛速度呈指数级增长。此外,有限粒子系统在与粒子数量成指数关系的时间内继承了这种稳定性。 AI

影响 为机器学习中使用的优化算法提供理论保证。

排序理由 关于优化动力学理论方面的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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平均场 Langevin 动力学显示局部指数稳定性

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关于优化动力学理论方面的学术论文。[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) · Geuntaek Seo, Minseop Shin, Pierre Monmarch\'e, Beomjun Choi ·

    均场 Langevin 下降-上升及其相关粒子系统的局部指数稳定性

    arXiv:2602.01564v2 Announce Type: replace Abstract: We study the mean-field Langevin descent-ascent (MFL-DA), a coupled optimization dynamics on the space of probability measures for entropically regularized two-player zero-sum games, together with its associated interacting part…