RQ-TTSA achieves O(T^{-(p-1)/(3p-2)}) convergence for nonconvex-strongly convex bilevel optimization under heavy-tailed noise (p in (1,2]) via quantile-guided Huber clipping and shows empirical gains on vision, games, and RL tasks.
arXiv preprint arXiv:2102.07367 , year=
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Distribution-Aware Robust Bilevel Optimization: Quantile-Guided Huber Updates in Two-Timescale Stochastic Approximation
RQ-TTSA achieves O(T^{-(p-1)/(3p-2)}) convergence for nonconvex-strongly convex bilevel optimization under heavy-tailed noise (p in (1,2]) via quantile-guided Huber clipping and shows empirical gains on vision, games, and RL tasks.