2 papers
cs.LG2026
Using predictive multiplicity to measure individual performance within the AI Act
Karolin Frohnapfel, Mara Seyfert, Sebastian Bordt +2
When building AI systems for decision support, one often encounters the phenomenon of predictive multiplicity: a single best model does not exist; instead, one can construct many m…
cs.LG2025
How to safely discard features based on aggregate SHAP values
Robi Bhattacharjee, Karolin Frohnapfel, Ulrike von Luxburg
SHAP is one of the most popular local feature-attribution methods. Given a function f and an input x, it quantifies each feature's contribution to f(x). Recently, SHAP has been inc…