Liu, Zhuqing

7 publications

ICLR 2025 DUET: Decentralized Bilevel Optimization Without Lower-Level Strong Convexity Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu

UAI 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu

ICLR 2024 PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu

NeurIPS 2023 Federated Multi-Objective Learning Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

ICML 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu

NeurIPS 2022 SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu

NeurIPS 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu