Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
–Neural Information Processing Systems
We present a novel approach for explaining Gaussian processes (GPs) that can utilize the full analytical covariance structure present in GPs.
Neural Information Processing Systems
Feb-16-2026, 04:54:15 GMT
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