Convergence of Adam for non-convex objectives: relaxed hyperparameters and non-ergodic case.

Saved in:
Bibliographic Details
Title: Convergence of Adam for non-convex objectives: relaxed hyperparameters and non-ergodic case.
Authors: Liang, Yuqing1, liangyq337@nenu.edu.cn, He, Meixuan1, hemx833@nenu.edu.cn, Liu, Jinlan2, liujinlan@ccsfu.edu.cn, Xu, Dongpo1, xudp100@nenu.edu.cn
Source: Machine Learning; Mar2025, Vol. 114 Issue 3, p1-42, 42p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first