AWhat changed
Uses subsampled local-variable analysis and stochastic natural-gradient updates of global variational parameters to scale inference over large datasets.
Scientific scope
Uses subsampled local-variable analysis and stochastic natural-gradient updates of global variational parameters to scale inference over large datasets. The controlling original derives a class with global/local conditional independence and conjugate exponential-family complete conditionals. It does not automatically cover every nonconjugate model or recover the exact posterior; stochastic optimization convergence assumptions do not certify a global nonconvex optimum. Printed Matt Hoffman is the source label;2012submittedpreprint, not completed journal publication.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The controlling original derives a class with global/local conditional independence and conjugate exponential-family complete conditionals. It does not automatically cover every nonconjugate model or recover the exact posterior; stochastic optimization convergence assumptions do not certify a global nonconvex optimum. Printed Matt Hoffman is the source label;2012submittedpreprint, not completed journal publication.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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