Author

Mathias Staudigl

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#machine learning Preprint Sep 2026

Stochastic Nonconvex Bilevel Optimization: Improved Rates Without Rare-Visit Assumption

This work shows that a simple denominator-only regularization of the DBGD multiplier eliminates the need for such an assumption while preserving fast convergence rates, and improves upon the best assumption-free complexities.

Daniel Cortild, Mathias Staudigl, J. Peypouquet et al. · 0 citations