来自 | 机器之心
在一篇 NeurIPS 2020 Spotlight 论文中，来自耶鲁大学等机构的研究者提出了一种新型优化器，可以像 Adam 一样快速收敛，准确率媲美 SGD ，还能稳定训练 GAN 。
论文页面：https://juntang-zhuang.github.io/adabelief/
，其中，v_t是
的指数移动平均值（EMA）。在AdaBelief中，更新方向是
，其中，s_t是 (g_t−m_t)^2的EMA。直观来看，将m_t看作g_t的预测，当观察结果g_t与预测结果m_t接近时，AdaBelief步长较大；当g_t与m_t相差较大时，AdaBelief步长较小。
，因此，它在x方向和y方向上步长一样。但在AdaBelief 中，
，因此它在x方向上步长较大，在y方向上步长较小。
，可以得到
很小，那么作为
估计值的m_t的偏置
就很小。此时，
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