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On Convergence of Incremental Gradient for Non-Convex Smooth Functions
Feb. 13, 2024, 5:44 a.m. | Anastasia Koloskova Nikita Doikov Sebastian U. Stich Martin Jaggi
cs.LG updates on arXiv.org arxiv.org
This paper delves into the convergence properties of SGD algorithms with arbitrary data ordering, within a broad framework for non-convex smooth functions. Our findings show enhanced convergence guarantees for incremental gradient and single shuffle SGD. Particularly if …
algorithms behavior cache convergence cs.lg functions good gradient incremental machine machine learning math.oc network neural network optimization paper popular practical stat.ml theory
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