What is recorded here?
Uses subsampled local-variable analysis and stochastic natural-gradient updates of global variational parameters to scale inference over large datasets.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
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.
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People and systems
Matt Hoffman; David M. Blei; Chong Wang; John Paisley
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.
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English catalogue narrative
Stochastic variational inference for large latent-variable datasets
Uses subsampled local-variable analysis and stochastic natural-gradient updates of global variational parameters to scale inference over large datasets.
Scientific scope
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.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Matt Hoffman; David M. Blei; Chong Wang; John Paisley
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.