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Value Function Based DC Algorithm for Bilevel Hyperparameter Selection Problems

  • 演讲者:尹海安(南科大)

  • 时间:2023-02-13 13:50-14:30

  • 地点:理学院大楼M616

Abstract: Hyperparameter selection problem is inherently a bilevel optimization task. Gradient-based methods guarantee theoretical convergence to stationary solutions when for fixed upper-level variable values, the lower level of the bilevel program is strongly convex (LLSC) and smooth (LLS). In this talk, we present a sequentially convergent Value Function based Difference-of-Convex Algorithm with inexactness (VF-iDCA). We show that this algorithm achieves stationary solutions without LLSC and LLS assumptions for bilevel programs from a broad class of hyperparameter tuning applications.