Zhenxun Zhuang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Convex Optimization

Top Venues

Publications

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