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SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws

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

arXiv:2609.07868v1 Announce Type: new Abstract: We study the training dynamics of multiclass logistic regression on high-dimensional Gaussian mixture models with a large number of classes and establish precise scaling laws governing the cross-entropy risk under gradient-based optimization. We show…

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  1. 2026-09-09 04:00 · arXiv stat.ML
    SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws

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