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stat.ML2021★ 2 cited
Joint Shapley values: a measure of joint feature importance
Chris Harris, Richard Pymar, Colin Rowat
The Shapley value is one of the most widely used measures of feature importance partly as it measures a feature's average effect on a model's prediction. We introduce joint Shapley…
stat.ML2019★ 36 cited
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
Explaining AI systems is fundamental both to the development of high performing models and to the trust placed in them by their users. The Shapley framework for explainability has…