13 citations · 42 across the 24 of their papers we have counts for
4 papers · 1 filter
Moreau Envelope Based Difference-of-weakly-Convex Reformulation and Algorithm for Bilevel Programs
Lucy L. Gao, Jane J. Ye, Haian Yin +2
Bilevel programming has emerged as a valuable tool for hyperparameter selection, a central concern in machine learning. In a recent study by Ye et al. (2023), a value function-base…
Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions
Risheng Liu, Yaohua Liu, Shangzhi Zeng +1
In recent years, there has been a surge of machine learning applications developed with hierarchical structure, which can be approached from Bi-Level Optimization (BLO) perspective…
Hierarchical Optimization-Derived Learning
Risheng Liu, Xuan Liu, Shangzhi Zeng +2
In recent years, by utilizing optimization techniques to formulate the propagation of deep model, a variety of so-called Optimization-Derived Learning (ODL) approaches have been pr…
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Risheng Liu, Yaohua Liu, Wei Yao +2
Gradient methods have become mainstream techniques for Bi-Level Optimization (BLO) in learning fields. The validity of existing works heavily rely on either a restrictive Lower-Lev…