Tag: cut

Neural variational inference for cutting feedback during uncertainty propagation arXiv:2510.10268v1 Announce Type: new Abstract: In many scientific applications, uncertainty of estimates from an earlier (upstream) analysis needs to be propagated in subsequent (downstream) Bayesian analysis, without feedback. Cutting feedback methods, also termed cut-Bayes, achieve this by constructing a cut-posterior distribution that prevents backward information flow.…