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Accelerating Diagonal Methods for Bilevel Optimization: Unified Convergence via Continuous-Time Dynamics

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arxiv 2505.14389 v1 pith:T5VGE7MU submitted 2025-05-20 math.OC

Accelerating Diagonal Methods for Bilevel Optimization: Unified Convergence via Continuous-Time Dynamics

Radu Ioan Bo\c{t} , Enis Chenchene , Ern\"o Robert Csetnek , David Alexander Hulett This is my paper
classification math.OC
keywords convergencebilevelmethodsanalysiscontinuous-timediagonaldynamicsresults
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We analyze fast diagonal methods for simple bilevel programs. Guided by the analysis of the corresponding continuous-time dynamics, we provide a unified convergence analysis under general geometric conditions, including H\"olderian growth and the Attouch-Czarnecki condition. Our results yield explicit convergence rates and guarantee weak convergence to a solution of the bilevel problem. In particular, we improve and extend recent results on accelerated schemes, offering novel insights into the trade-offs between geometry, regularization decay, and algorithmic design. Numerical experiments illustrate the advantages of more flexible methods and support our theoretical findings.

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