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R. F. Barber

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Preprint Aug 2026

Conformal Prediction Through the Lens of Hypothesis Testing: Universality, Impossibility, and Optimality

The connections between conformal prediction and permutation tests are already widely-known in the literature. Some authors motivate conformal prediction by saying that it computes a permutation p-value for the hypothesis $H_0 : Y_{n+1} = y$, and then inverts this to form a prediction set for $Y_{n+1}$ (i.e., accepts a...

R. Tibshirani, R. F. Barber, Aaditya Ramdas · 0 citations
Open access Aug 2026

Preface to 'advancing uncertainty quantification in artificial intelligence systems using conformal prediction'.

As artificial intelligence (AI) systems are being widely deployed in safety-critical and high-stakes applications (e.g. medical diagnosis, autonomous vehicles, financial risk assessment), there is a growing demand for providing reliable and trustworthy machine predictions. However, since AI models become more complex i...

Khuong An Nguyen, R. F. Barber, Vicky Copley et al. · 0 citations

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