4 citations · 5 across the 3 of their papers we have counts for
4 papers
Gradient-based algorithms for multi-objective bi-level optimization
Xinmin Yang, Wei Yao, Haian Yin +2
Multi-Objective Bi-Level Optimization (MOBLO) addresses nested multi-objective optimization problems common in a range of applications. However, its multi-objective and hierarchica…
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
Wei Yao, Haian Yin, Shangzhi Zeng +1
Constrained bilevel optimization tackles nested structures present in constrained learning tasks like constrained meta-learning, adversarial learning, and distributed bilevel optim…
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…
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy Gao, Jane J. Ye, Haian Yin +2
Gradient-based optimization methods for hyperparameter tuning guarantee theoretical convergence to stationary solutions when for fixed upper-level variable values, the lower level…