arXiv cs.LG
· Papers
Optimization as a Dynamical System: Generative Schedules from Latent ODEs
arXiv:2509.23052v2 Announce Type: replace Abstract: We present a new meta-learning method to determine the optimal learning rate schedule for gradient descent. It leverages training runs from a hyperparameter search to learn a latent representation of the training process, which is modeled as a dynamical system. Given