2019
On the Accuracy of Influence Functions for Measuring Group Effects
NeurIPS 2019poster
Influence functions estimate the effect of removing a training point on a model without the need to retrain. They are based on a first-order Taylor approximation that is guaranteed to be accurate for sufficiently small changes to the model, and so are commonly used to study the effect of individual…