Guanghui Wang

According to our database, Guanghui Wang authored at least 17 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Projection-free Distributed Online Learning with Sublinear Communication Complexity.

Yuanyu Wan, Guanghui Wang, Wei-Wei Tu, Lijun Zhang

J. Mach. Learn. Res., 2022

A Simple yet Universal Strategy for Online Convex Optimization.

Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

Momentum Accelerates the Convergence of Stochastic AUPRC Maximization.

Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Bandit Convex Optimization in Non-stationary Environments.

Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2021

Projection-free Distributed Online Learning with Strongly Convex Losses.

Yuanyu Wan, Guanghui Wang, Lijun Zhang

CoRR, 2021

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.

Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Convex Optimization with Continuous Switching Constraint.

Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic Graphical Bandits with Adversarial Corruptions.

Shiyin Lu, Guanghui Wang, Lijun Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs.

Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

SAdam: A Variant of Adam for Strongly Convex Functions.

Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu, Lijun Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization.

Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions.

Lijun Zhang, Guanghui Wang, Weiwei Tu, Zhi-Hua Zhou

CoRR, 2019

SAdam: A Variant of Adam for Strongly Convex Functions.

Guanghui Wang, Shiyin Lu, Weiwei Tu, Lijun Zhang

CoRR, 2019

Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization.

Guanghui Wang, Shiyin Lu, Lijun Zhang

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Multi-Objective Generalized Linear Bandits.

Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards.

Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Minimizing Adaptive Regret with One Gradient per Iteration.

Guanghui Wang, Dakuan Zhao, Lijun Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018