2024
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
Elizabeth Collins-Woodfin, Inbar Seroussi, Begoña García Malaxechebarría, Andrew Mackenzie, Elliot Paquette, Courtney Paquette
NeurIPS 2024poster
We develop a framework for analyzing the training and learning rate dynamics on a large class of high-dimensional optimization problems, which we call the high line, trained using one-pass stochastic gradient descent (SGD) with adaptive learning rates. We give exact expressions for the risk and lear…