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2020 – today
- 2024
[c8]Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang:
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm. ICLR 2024- [c7]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. ICML 2024 - [i14]Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang:
Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm. CoRR abs/2401.16164 (2024) - [i13]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 abs/2405.09927 (2024) - 2023
- [j9]Boris S. Mordukhovich, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A globally convergent proximal Newton-type method in nonsmooth convex optimization. Math. Program. 198(1): 899-936 (2023) - [j8]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): 1583-1616 (2023) - [j7]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): 38-57 (2023) - [j6]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Hierarchical Optimization-Derived Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14693-14708 (2023) - [j5]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): 15930-15948 (2023) - [c6]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: 21839-21866 - [i12]Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity. CoRR abs/2302.03407 (2023) - [i11]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Hierarchical Optimization-Derived Learning. CoRR abs/2302.05587 (2023) - [i10]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 abs/2306.16761 (2023) - 2022
- [j4]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Task-Oriented Convex Bilevel Optimization With Latent Feasibility. IEEE Trans. Image Process. 31: 1190-1203 (2022) - [c5]Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang:
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. ICML 2022: 7164-7182 - [c4]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. ICML 2022: 13825-13856 - [i9]Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang:
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees. CoRR abs/2205.10054 (2022) - [i8]Lucy L. Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang:
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems. CoRR abs/2206.05976 (2022) - [i7]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training. CoRR abs/2206.07875 (2022) - 2021
- [c3]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: 6882-6892 - [c2]Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. NeurIPS 2021: 8662-8675 - [i6]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR abs/2102.07976 (2021) - [i5]Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization. CoRR abs/2106.07991 (2021) - [i4]Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang:
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond. CoRR abs/2110.00455 (2021) - [i3]Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Value-Function-based Sequential Minimization for Bi-level Optimization. CoRR abs/2110.04974 (2021) - 2020
- [j3]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: 83:1-83:75 (2020) - [c1]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: 6305-6315 - [i2]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 abs/2006.04045 (2020)
2010 – 2019
- 2019
- [i1]Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Bilevel Integrative Optimization for Ill-posed Inverse Problems. CoRR abs/1907.03083 (2019) - 2018
- [j2]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): 2095-2123 (2018) - 2017
- [j1]Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
Primal-dual hybrid gradient method for distributionally robust optimization problems. Oper. Res. Lett. 45(6): 625-630 (2017)
Coauthor Index
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