Guanghui Wang - RankMe

27 papers A* 10A 3Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions. CoRR Lijun Zhang, Wenhao Yang, Guanghui Wang, Wei Jiang, Zhi-Hua Zhou
2025	J	`jnl`	Universal Online Convex Optimization Meets Second-order Bounds. J. Mach. Learn. Res. Lijun Zhang, Yibo Wang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2022	A*	`conf`	A Simple yet Universal Strategy for Online Convex Optimization. ICML Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2022	A	`conf`	Momentum Accelerates the Convergence of Stochastic AUPRC Maximization. AISTATS Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang
2022	J	`jnl`	Projection-free Distributed Online Learning with Sublinear Communication Complexity. J. Mach. Learn. Res. Yuanyu Wan, Guanghui Wang, Wei-Wei Tu, Lijun Zhang
2021	J	`jnl`	A Simple yet Universal Strategy for Online Convex Optimization. CoRR Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2021	J	`jnl`	Bandit Convex Optimization in Non-stationary Environments. J. Mach. Learn. Res. Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
2021	A*	`conf`	Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. NeurIPS Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
2021	J	`jnl`	Momentum Accelerates the Convergence of Stochastic AUPRC Maximization. CoRR Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang
2021	A*	`conf`	Online Convex Optimization with Continuous Switching Constraint. NeurIPS Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang
2021	J	`jnl`	Online Convex Optimization with Continuous Switching Constraint. CoRR Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang
2021	J	`jnl`	Projection-free Distributed Online Learning with Strongly Convex Losses. CoRR Yuanyu Wan, Guanghui Wang, Lijun Zhang
2021	A*	`conf`	Stochastic Graphical Bandits with Adversarial Corruptions. AAAI Shiyin Lu, Guanghui Wang, Lijun Zhang
2020	A*	`conf`	Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization. AAAI Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang
2020	A	`conf`	Bandit Convex Optimization in Non-stationary Environments. AISTATS Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
2020	A*	`conf`	Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs. IJCAI Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang
2020	J	`jnl`	Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs. CoRR Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang
2020	A*	`conf`	SAdam: A Variant of Adam for Strongly Convex Functions. ICLR Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu, Lijun Zhang
2019	A	`conf`	Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. UAI Guanghui Wang, Shiyin Lu, Lijun Zhang
2019	J	`jnl`	Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. CoRR Guanghui Wang, Shiyin Lu, Lijun Zhang
2019	J	`jnl`	Bandit Convex Optimization in Non-stationary Environments. CoRR Peng Zhao, Guanghui Wang, Lijun Zhang, Zhi-Hua Zhou
2019	J	`jnl`	Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. CoRR Lijun Zhang, Guanghui Wang, Weiwei Tu, Zhi-Hua Zhou
2019	A*	`conf`	Multi-Objective Generalized Linear Bandits. IJCAI Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
2019	J	`jnl`	Multi-Objective Generalized Linear Bandits. CoRR Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
2019	A*	`conf`	Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards. ICML Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
2019	J	`jnl`	SAdam: A Variant of Adam for Strongly Convex Functions. CoRR Guanghui Wang, Shiyin Lu, Weiwei Tu, Lijun Zhang
2018	A*	`conf`	Minimizing Adaptive Regret with One Gradient per Iteration. IJCAI Guanghui Wang, Dakuan Zhao, Lijun Zhang