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Helmholtz AI, Konrad Zuse School of Excellence in Reliable AI
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Many popular uncertainty metrics mislead decision-making, but new decision-aligned metrics show a striking improvement in utility alignment.
MFVI can paradoxically overestimate predictive variance, leading to predictions that exceed those of the exact posterior for in-distribution test points.
