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Zhaojun Peng

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Jul 2026

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization

This work proposes MC-ALFCG, which combines a momentum conditional-gradient method with coupled capped multilevel Monte Carlo estimation and per-iteration clipping, and addresses the projection-free composite setting using the generalized Frank-Wolfe gap.

Zhaojun Peng · arXiv.org · 0 citations