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cond-mat.dis-nn2026
Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model
Blake Bordelon, Francesco Mori
Setting the learning rate (LR) for a deep learning model is a critical part of successful training. Choosing LRs is often done empirically with trial and error. In this work, we ex…
cond-mat.dis-nn2025
A statistical physics framework for optimal learning
Francesca Mignacco, Francesco Mori
Learning is a complex dynamical process shaped by a range of interconnected decisions. Careful design of hyperparameter schedules for artificial neural networks or efficient alloca…