Zhenxun Zhuang

14 papers A* 4Misc 1Journal 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Adaptive Strategies in Non-convex Optimization.
CoRR
Zhenxun Zhuang
2022 A* conf
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.
NeurIPS
Mingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao
2022 J jnl
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.
CoRR
Mingrui Liu, Zhenxun Zhuang, Yunwei Lei, Chunyang Liao
2022 — —
Adaptive strategies in non-convex optimization
Zhenxun Zhuang
2022 A* conf
Robustness to Unbounded Smoothness of Generalized SignSGD.
NeurIPS
Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
2022 J jnl
Robustness to Unbounded Smoothness of Generalized SignSGD.
CoRR
Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
2022 J jnl
Understanding AdamW through Proximal Methods and Scale-Freeness.
CoRR
Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona
2022 J jnl
Understanding AdamW through Proximal Methods and Scale-Freeness.
Trans. Mach. Learn. Res.
Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona
2021 A* conf
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance.
ICML
Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona
2020 J jnl
Exponential Step Sizes for Non-Convex Optimization.
CoRR
Xiaoyu Li, Zhenxun Zhuang, Francesco Orabona
2020 Misc conf
No-Regret Non-Convex Online Meta-Learning.
ICASSP
Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu
2019 J jnl
Online Meta-Learning on Non-convex Setting.
CoRR
Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu
2019 A* conf
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization.
ICML
Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona
2019 J jnl
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization.
CoRR
Zhenxun Zhuang, Ashok Cutkosky, Francesco Orabona