most citedDistributed Gradient Clustering: Convergence and the Effect of Initialization

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stat.ML2026

Sharp High-Probability Rates for Nonlinear SGD under Heavy-Tailed Noise via Symmetrization

Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic +1

We study convergence in high-probability of SGD-type methods in non-convex optimization and the presence of heavy-tailed noise. To combat the heavy-tailed noise, a general black-bo…