Author

Haishan Ye

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Jul 2026

Sharper Analysis of Single-Loop Methods for Bilevel Optimization

This work establishes sharper convergence results for single-loop approximate implicit differentiation (AID) and iterative differentiation (ITD) methods, leveraging the proposed analytical framework, decoupled norm analysis (DNA).

Yubo Zhou, Jun Shu, Luo Luo et al. · arXiv.org · 0 citations

Jul 2026

Leveraging Extragradient for Effective Sharpness-Aware Minimization in Deep Learning

Theoretical analysis further confirms that EISAM tightens the generalization bound by steering parameters toward flatter minima with reduced curvature, establishing it as a robust, scalable, and broadly applicable optimization solution that advances both the theory and practice in deep learning.

Yao Fu, Chunxia Zhang, Junmin Liu et al. · arXiv.org · 0 citations