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English(EN) On the Convergence of Adam, Revisited

新研究论文重新审视 Adam 优化器收敛性质

一篇新论文重新探讨了 Adam 优化算法的收敛性质,证明了具有任意动量衰减参数的投影 Adam 可以表现出有界非零的平均遗憾。这一发现扩展到各种 Adam 变体,包括 AdamW、RMSProp、NAdam、Adan、AdaMax 和 Muon。该研究利用了与先前工作类似的三周期线性函数序列,但对斜率参数进行了微调。 AI

排序理由 该集群包含一篇详细介绍优化算法理论研究的学术论文。

在 arXiv stat.ML 阅读 →

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新研究论文重新审视 Adam 优化器收敛性质

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该集群包含一篇详细介绍优化算法理论研究的学术论文。
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报道来源 [2]

  1. arXiv stat.ML TIER_1 English(EN) · Steven Heilman, Sampad Mohanty ·

    关于 Adam 收敛的再探讨

    arXiv:2607.03519v1 Announce Type: cross Abstract: We show that projected Adam for online optimization with arbitrary moment decay parameters $\beta_1,\beta_2\in[0,1)$ can have average regret bounded away from zero. A similar result of Reddi-Kale-Kumar from 2018 required $\beta_1<…

  2. arXiv stat.ML TIER_1 English(EN) · Sampad Mohanty ·

    关于 Adam 收敛的再探讨

    We show that projected Adam for online optimization with arbitrary moment decay parameters $β_1,β_2\in[0,1)$ can have average regret bounded away from zero. A similar result of Reddi-Kale-Kumar from 2018 required $β_1<\sqrt{β_2}$. Similar to their result, we use a three-periodic …