Yuman Wu

Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm

Bilevel optimization is a hierarchical framework where an upper-level optimization problem is constrained by a lower-level problem, commonly used in machine learning applications such as hyperparameter optimization. Existing bilevel optimization methods typically assume strong convexity or Polyak-Ło…