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#machine learning Preprint Oct 2026

Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization

A momentum-based estimator with mini-batches is employed to track the function values of each level, which are subsequently used to construct momentum gradient estimators, and a batch-free method that incorporates a first-order approximation and a clipping technique for function value estimation is developed.

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

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