arXiv Machine Learning
To Solve Bilevel Optimization with Nonconvex Lower Levels, We Need Second-Order Stationarity
Read the original on arXiv Machine Learning →arXiv:2609. 30501v1 Announce Type: new Abstract: 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.
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