Single-Loop Gradient Algorithms for Pessimistic Bilevel Optimization Problems
This work proposes a smooth approximation of PBO through reformulation, penalization and regularization, and establishes convergence guarantees in terms of both minimizers and stationarity, and develops two single-loop algorithms for deterministic and stochastic PBOs, respectively.