马尔科夫链随机DCA和深度学习中的应用与PDEs规范化

Hoang Phuc Hau Luu1, Hoai Minh Le1, Hoai An Le Thi2

  • 1Université de Lorraine, LGIPM, Metz, 57000, France.

概括

这项研究引入了一种用于不确定数据的复杂优化问题的新算法,使用马尔科夫链而不是独立样本. 该方法,马尔科夫链随机DCA,在深度学习应用中显示出前景.

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