AI RESEARCH
High Probability Guarantees for Random Reshuffling
arXiv CS.LG
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ArXi:2311.11841v4 Announce Type: replace-cross We consider the stochastic gradient method with random reshuffling ($\mathsf{RR}$) for tackling smooth nonconvex optimization problems. $\mathsf{RR}$ finds broad applications in practice, notably in