Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
arXiv:2511.02258v2 Announce Type: replace-cross
Abstract: This paper studies the high-dimensional scaling limits of online stochastic gradient descent (SGD). Building on the recent work of Ben Arous, Gheissari, and Jagannath on the effective dynamics …