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20222026
most citedScientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena

28 citations · 42 across the 6 of their papers we have counts for

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stat.ML2023

Efficient SAGE Estimation via Causal Structure Learning

Christoph Luther, Gunnar König, Moritz Grosse-Wentrup

The Shapley Additive Global Importance (SAGE) value is a theoretically appealing interpretability method that fairly attributes global importance to a model's features. However, it…