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Tom Rainforth

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Preprint Jul 2026

Prediction-Powered Active Testing

Active testing provides a label--efficient approach to risk estimation by adaptively selecting which test points should be labelled. However, existing estimators fail to exploit the informative predictions of powerful black--box models, even though such predictions are increasingly available in settings where labels re...

Kianoosh Ashouritaklimi, Valentin Kilian, Daolang Huang et al. · 0 citations
Jul 2026

Bayesian Experimental Design via Score Matching

This work shows that the double intractability of the EIG can be isolated from the policy learning by first solving a score matching problem that is independent of the policy used, then using the learned score approximation to train the policy in a singly intractable manner.

Angus Phillips, Gavin Kerrigan, Tom Rainforth · 0 citations

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