2019
Disentangling Influence: Using disentangled representations to audit model predictions
NeurIPS 2019poster
Motivated by the need to audit complex and black box models, there has been extensive research on quantifying how data features influence model predictions. Feature influence can be direct (a direct influence on model outcomes) and indirect (model outcomes are influenced via proxy features). Feature…