Zhi-Yao Zhang

To Solve Bilevel Optimization with Nonconvex Lower Levels, We Need Second-Order Stationarity

Although bilevel optimization (BLO) has emerged as a powerful framework for addressing many complex and nested machine learning problems in recent years, most existing studies are confined to the lower-level strongly convex (LLSC) or lower-level generally convex (LLGC) settings (i.e., the lower-level objective function...