Shangzhi Zeng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Convex Optimization

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm. CoRR (2024)
Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm. ICLR (2024)
Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy. CoRR (2024)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Hierarchical Optimization-Derived Learning. CoRR (2023)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Hierarchical Optimization-Derived Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. ICML (2023)
Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs. CoRR (2023)
Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR (2023)
Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. 198 (1) (2023)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Value-Function-Based Sequential Minimization for Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Difference of convex algorithms for bilevel programs with applications in hyperparameter selection. Math. Program. 198 (2) (2023)
Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. CoRR (2022)
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31 (2022)
Lucy Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. ICML (2022)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. ICML (2022)
Lucy Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. CoRR (2022)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. CoRR (2022)
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR (2021)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR (2021)
Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS (2021)
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. ICML (2021)
Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. CoRR (2021)
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
Value-Function-based Sequential Minimization for Bi-level Optimization. CoRR (2021)
Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis. J. Mach. Learn. Res. 21 (2020)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR (2020)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML (2020)
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR (2019)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers. SIAM J. Numer. Anal. 56 (4) (2018)
Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45 (6) (2017)