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20202025
most citedgroupShapley: Efficient prediction explanation with Shapley values for feature groups

2 citations · 5 across the 4 of their papers we have counts for

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stat.ML2021★ 1 cited

MCCE: Monte Carlo sampling of realistic counterfactual explanations

Annabelle Redelmeier, Martin Jullum, Kjersti Aas +1

We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, a…

stat.ML2021★ 2 cited

groupShapley: Efficient prediction explanation with Shapley values for feature groups

Martin Jullum, Annabelle Redelmeier, Kjersti Aas

Shapley values has established itself as one of the most appropriate and theoretically sound frameworks for explaining predictions from complex machine learning models. The popular…