Author

Wei Jiang

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#machine learning Preprint Oct 2026

Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization

This paper investigates stochastic multi-level optimization where the objective is a nested composition of several smooth non-convex functions. We assume that only stochastic estimates of the gradient and function values for each level are accessible. Consequently, obtaining an accurate estimate of the overall gradient...

Wei Jiang, Rui Yan, Si-Fan Yang et al. · 0 citations

#machine learning Preprint Sep 2026

From Switching to Dynamic Regret: A Simple Reduction via Unbiased Random Sequences

In non-stationary online learning, dynamic regret has attracted increasing attention as a measure of how well an online learner performs against a time-varying comparator sequence. Despite considerable advances, attaining optimal bounds for strongly convex and exp-concave losses often involves intricate analysis. In th...

Yi-Bo Wang, Wen-Hao Yang, Si-Fan Yang et al. · 0 citations