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stat.ML2026
A distribution-free certification framework for trustworthy crash-severity prediction
Amir Rafe, Subasish Das
Crash-severity models inform screening, dispatch and site prioritization, yet are deployed without a finite-sample statement of what one prediction means. Off-the-shelf guarantees…
stat.ML2026
Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery
Amir Rafe, Subasish Das
Public attitudes toward artificial intelligence are heterogeneous, ordinally measured, and poorly captured by any single dependency graph. Existing ordinal structure learners assum…