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Arxiv
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Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
- Bilevel optimization is important in AI applications, but obtaining global optimality is challenging.
- Bilevel problems often lack a benign landscape and may have multiple local solutions.
- This paper explores global convergence theory for bilevel optimization.
- Two sufficient conditions for global convergence are presented, with proofs and experimental validation.
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