2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NeurIPS 2021poster
This work presents several expected generalization error bounds based on the Wasserstein distance. More specifically, it introduces full-dataset, single-letter, and random-subset bounds, and their analogous in the randomized subsample setting from Steinke and Zakynthinou [1]. Moreover, when the loss…