1. A unified approach to interpreting model predictions;Lundberg;NeurIPS,2017
2. Asymmetric shapley values: incorporating causal knowledge into model-agnostic explainability;Frye;NeurIPS,2020
3. Causal shapley values: Exploiting causal knowledge to explain individual predictions of complex models;Heskes;NeurIPS,2020
4. Shapley flow: A graph-based approach to interpreting model predictions;Wang;AISTATS,2021
5. On measuring causal contributions via do-interventions;Jung;ICML,2022