Zhishuai Guo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Convergence Analysis

Robust Optimization

Heterogeneous Data

Top Venues

J. Mach. Learn. Res.

Publications

Jing Li, Donghong Han, Zhishuai Guo, Baiyou Qiao, Gang Wu
Generating empathetic responses through emotion tracking and constraint guidance. Frontiers Comput. Sci. 18 (2) (2024)
Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang
FeDXL: Provable Federated Learning for Deep X-Risk Optimization. ICML (2023)
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. ICML (2023)
Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. J. Mach. Learn. Res. 24 (2023)
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. CoRR (2023)
Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang
Compositional Training for End-to-End Deep AUC Maximization. ICLR (2022)
Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang
FedX: Federated Learning for Compositional Pairwise Risk Optimization. CoRR (2022)
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. ICML (2021)
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
A Novel Convergence Analysis for Algorithms of the Adam Family. CoRR (2021)
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity. CoRR (2021)
Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives. NeurIPS (2021)
Zhishuai Guo, Tianbao Yang
Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization. CoRR (2021)
Jing Gao, Zhishuai Guo, Yong Xiao
Research on Cultivation of Innovation and Entrepreneurship Ability of Applied Talents under the Concept of "New Engineering". CIPAE (2021)
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang
On Stochastic Moving-Average Estimators for Non-Convex Optimization. CoRR (2021)
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. CoRR (2020)
Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang
Accelerating Deep Learning with Millions of Classes. ECCV (23) (2020)
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. ICML (2020)
Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. CoRR (2020)
Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang
Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR (2020)
Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang
A Practical Online Method for Distributionally Deep Robust Optimization. CoRR (2020)
Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu
A New Local Density for Density Peak Clustering. PAKDD (3) (2018)