Christoph Luther

Efficient SAGE Estimation via Causal Structure Learning

The Shapley Additive Global Importance (SAGE) value is a theoretically appealing interpretability method that fairly attributes global importance to a model’s surplus performance contributions over an exponential number of feature sets. This is computationally expensive, particularly because estimat…