Counterfactual Shapley Additive Explanations

Author:

Albini Emanuele1,Long Jason1,Dervovic Danial1,Magazzeni Daniele1

Affiliation:

1. J.P. Morgan AI Research, United Kingdom

Publisher

ACM

Reference69 articles.

1. Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

2. Amina Adadi and Mohammed Berrada . 2018. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) . IEEE Access 6 (9 2018 ), 52138–52160. Amina Adadi and Mohammed Berrada. 2018. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI). IEEE Access 6 (9 2018), 52138–52160.

3. Relation-Based Counterfactual Explanations for Bayesian Network Classifiers

4. Emanuele Albini , Antonio Rago , Pietro Baroni , and Francesca Toni . 2021 . Influence-Driven Explanations for Bayesian Network Classifiers. In PRICAI 2021: Trends in Artificial Intelligence. 88–100 . Emanuele Albini, Antonio Rago, Pietro Baroni, and Francesca Toni. 2021. Influence-Driven Explanations for Bayesian Network Classifiers. In PRICAI 2021: Trends in Artificial Intelligence. 88–100.

5. The hidden assumptions behind counterfactual explanations and principal reasons

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