Bounding generalization error with input compression: An empirical study with infinite-width networks

Angus Galloway, Anna Golubeva, Mahmoud Salem +3

Estimating the Generalization Error (GE) of Deep Neural Networks (DNNs) is an important task that often relies on availability of held-out data. The ability to better predict GE ba…