28 Mar 2025
Researchers from the University of New Brunswick develop a mathematical framework connecting Stochastic Gradient Descent (SGD) to fractional Brownian motion on singular loss landscapes, demonstrating how the local learning coefficient bounds weight movement during neural network training while explaining the relationship between SGD and Bayesian inference.
There are no more papers matching your filters at the moment.
