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


Jun 16, 2022
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

* Accepted by ICML 2022 

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


Jun 13, 2022
Lucy Gao, Jane J. Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

* 19 pages 

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Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees


May 20, 2022
Risheng Liu, Xuan Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

* 11 pages 

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Value-Function-based Sequential Minimization for Bi-level Optimization


Oct 11, 2021
Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

* 18 pages 

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


Oct 01, 2021
Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

* Accepted by NeurIPS 2021, 12 pages 

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


Jun 15, 2021
Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* Accepted at ICML 2021 

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


Feb 16, 2021
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* 16 pages 

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A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton


Jul 02, 2020
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

* Accepted at ICML 2020 

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Bilevel Integrative Optimization for Ill-posed Inverse Problems


Jul 06, 2019
Risheng Liu, Long Ma, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang


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