Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data

Nov-17-2025, 06:57:34 GMT–Neural Information Processing Systems 

When training deep neural networks, a model's generalization error is often observed to follow a power scaling law dependent both on the model size and the