Zeng, Shangzhi

11 publications

NeurIPS 2025 A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation Qichao Cao, Shangzhi Zeng, Jin Zhang

ICLR 2025 Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang

ICLR 2024 Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-Free Algorithm Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang

ICML 2024 Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

ICML 2023 Averaged Method of Multipliers for Bi-Level Optimization Without Lower-Level Strong Convexity Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

ICML 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-Training Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

ICML 2022 Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L Gao, Jane Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

ICML 2021 A Value-Function-Based Interior-Point Method for Non-Convex Bi-Level Optimization Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

NeurIPS 2021 Towards Gradient-Based Bilevel Optimization with Non-Convex Followers and Beyond Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

ICML 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

JMLR 2020 Discerning the Linear Convergence of ADMM for Structured Convex Optimization Through the Lens of Variational Analysis Xiaoming Yuan, Shangzhi Zeng, Jin Zhang