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    Machine learning foundations· 2012

    Stochastic Variational Inference

    Matthew D. Hoffman (first author) · 2012 · published 2013

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    arXiv 1206.7051OpenAlex W2166851633

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    Why it matters

    Enabled scalable Bayesian inference using stochastic optimization over massive datasets.

    Condensed from the expert lists' notes.

    The record

    First released
    2012 (from arXiv 1206.7051)
    Published
    2013
    Citations
    3,162 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.509 · computed rank 229 · consensus 0.71, must-read 0.5, citations percentile 0.703 (2010s · foundations), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.