What is influence function analysis in model evaluation?

Influence functions estimate how training points affect model predictions.

Influence functions approximate the effect of upweighting or removing a training point on model parameters and predictions. They are used for debugging, fairness analysis, and data attribution. This method comes from robust statistics and helps identify harmful or influential training samples without retraining the model.