Shangzhi Zeng

Orcid: 0000-0002-6950-7825

According to our database¹, Shangzhi Zeng authored at least 21 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

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

[BibT_eX]

[DOI]

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

Hierarchical Optimization-Derived Learning.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Math. Program., April, 2023

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

[BibT_eX]

[DOI]

Boris S. Mordukhovich

Xiaoming Yuan

Shangzhi Zeng

Jin Zhang

Math. Program., March, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Task-Oriented Convex Bilevel Optimization With Latent Feasibility.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

Bilevel Integrative Optimization for Ill-posed Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2019

2018

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

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2018

2017

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

[BibT_eX]

[DOI]

Oper. Res. Lett., 2017

Shangzhi Zeng

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...