2 papers
math.OC2023
Hitting the High-Dimensional Notes: An ODE for SGD learning dynamics on GLMs and multi-index models
Elizabeth Collins-Woodfin, Courtney Paquette, Elliot Paquette +1
We analyze the dynamics of streaming stochastic gradient descent (SGD) in the high-dimensional limit when applied to generalized linear models and multi-index models (e.g. logistic…
stat.ML2023
Speed Limits for Deep Learning
Inbar Seroussi, Alexander A. Alemi, Moritz Helias +1
State-of-the-art neural networks require extreme computational power to train. It is therefore natural to wonder whether they are optimally trained. Here we apply a recent advancem…