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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.ML2022★ 11 cited

Improvement-Focused Causal Recourse (ICR)

Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup

Algorithmic recourse recommendations, such as Karimi et al.'s (2021) causal recourse (CR), inform stakeholders of how to act to revert unfavourable decisions. However, some actions…

stat.ML2022★ 28 cited

Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena

Timo Freiesleben, Gunnar König, Christoph Molnar +1

To learn about real world phenomena, scientists have traditionally used models with clearly interpretable elements. However, modern machine learning (ML) models, while powerful pre…