Shangzhi Zeng

According to our database, Shangzhi Zeng authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm.

Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang

CoRR, 2024

2023

Value-Function-Based Sequential Minimization for Bi-Level Optimization.

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Hierarchical Optimization-Derived Learning.

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection.

Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Math. Program., April, 2023

A globally convergent proximal Newton-type method in nonsmooth convex optimization.

Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Math. Program., March, 2023

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization.

Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs.

Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

CoRR, 2023

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity.

Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Task-Oriented Convex Bilevel Optimization With Latent Feasibility.

Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

IEEE Trans. Image Process., 2022

Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees.

Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

CoRR, 2022

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training.

Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

Proceedings of the International Conference on Machine Learning, 2022

Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems.

Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization.

Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

CoRR, 2021

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond.

Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

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

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization.

Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis.

Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

J. Mach. Learn. Res., 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

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Bilevel Integrative Optimization for Ill-posed Inverse Problems.

Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

CoRR, 2019

2018

Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers.

Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

SIAM J. Numer. Anal., 2018

2017

Primal-dual hybrid gradient method for distributionally robust optimization problems.

Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Oper. Res. Lett., 2017