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Neural Variational Cut Posteriors without Upstream Data

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2510.10268v3 Announce Type: replace Abstract: In many applications, one must propagate parameter uncertainty from an earlier (upstream) analysis, available as samples, to subsequent (downstream) analyses without feedback. This problem is called cutting feedback or cut-Bayes, and the cut-poste…

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  1. 2026-09-03 04:00 · arXiv stat.ML
    Neural Variational Cut Posteriors without Upstream Data

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