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Convergence of SGD for Learning Linear Neural Networks

Researchers study stochastic gradient descent dynamics in deep linear neural networks to understand non-convex convergence.

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• Convergence of SGD for Learning Linear Neural Networks arXiv: new preprints (security, AI, physics) · tier C · clear net · 2026-10-20 17:23 UTC

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