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Stochastic Gradient Descent over P2

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.13343v2 Announce Type: new Abstract: Stochastic gradient descent (SGD) admits diffusion approximations that replace the complicated randomness of stochastic gradients by Gaussian noise, providing a powerful tool for understanding its dynamics and long-time behavior. We investigate whethe…

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  1. 2026-09-15 04:00 · arXiv stat.ML
    Stochastic Gradient Descent over P2

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