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03/08/2023
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods
A hybrid model involves the cooperation of an interpretable model and a ...
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09/29/2022
Understanding Interventional TreeSHAP : How and Why it Works
Shapley values are ubiquitous in interpretable Machine Learning due to t...
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05/30/2022
Fooling SHAP with Stealthily Biased Sampling
SHAP explanations aim at identifying which features contribute the most ...
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10/26/2021
Partial order: Finding Consensus among Uncertain Feature Attributions
Post-hoc feature importance is progressively being employed to explain d...
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07/26/2021
