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A second look at exponential and cosine step sizes: Simplicity, adaptivity, and performance
X Li, Z Zhuang, F Orabona
International Conference on Machine Learning, 6553-6564, 2021
16*2021
No-regret non-convex online meta-learning
Z Zhuang, Y Wang, K Yu, S Lu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
132020
Online meta-learning on non-convex setting
Z Zhuang, Y Wang, K Yu, S Lu
arXiv preprint arXiv:1910.10196 3, 2019
42019
Surrogate losses for online learning of stepsizes in stochastic non-convex optimization
Z Zhuang, A Cutkosky, F Orabona
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
12019
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
M Liu, Z Zhuang, Y Lei, C Liao
arXiv preprint arXiv:2205.05040, 2022
2022
Understanding AdamW through Proximal Methods and Scale-Freeness
Z Zhuang, M Liu, A Cutkosky, F Orabona
arXiv preprint arXiv:2202.00089, 2022
2022
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