Variance-Reduced $(\epsilon ,\hat{I}´)-$Unlearning using Forget Set Gradients

Martin Van Waerebeke, Marco Lorenzi, Kevin Scaman +2

In machine unlearning, $(\epsilon ,\hat{I}´)-$unlearning is a popular framework that provides formal guarantees on the effectiveness of the removal of a subset of training data, the fo…