OVER-PARAMETERIZED MODEL OPTIMIZATION WITH POLYAK-LOJASIEWICZ CONDITION

被引：0
|
作者：
Chen, Yixuan [1 ]
Shi, Yubin [1 ]
Dong, Mingzhi [1 ]
Yang, Xiaochen [2 ]
Li, Dongsheng [3 ]
Wang, Yujiang [4 ]
Dick, Robert P. [5 ]
Lv, Qin [6 ]
Zhao, Yingying [1 ]
Yang, Fan [7 ]
Gu, Ning [1 ]
Shang, Li [1 ]
机构：
[1] China and Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China
[2] School of Mathematics Statistics, The University of Glasgow, Glasgow, United Kingdom
[3] Microsoft Research Asia, Shanghai, China
[4] Department of Engineering Science, University of Oxford, Oxford, United Kingdom
[5] Department of Electrical Engineering and Computer Science, University of Michigan, Michigan, United States
[6] Department of Computer Science, University of Colorado Boulder, Boulder,CO, United States
[7] School of Microelectronics, Fudan University, Shanghai, China
来源：
11th International Conference on Learning Representations, ICLR 2023 | 2023年
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Efficiency - Number theory - Parameterization
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