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    Machine learning foundations· survey· 2016

    Variational Inference: A Review for Statisticians

    David M. Blei (first author) · 2016 · published 2017

    Read the original

    DOI 10.1080/01621459.2017.1285773arXiv 1601.00670OpenAlex W2225156818

    On the reading lists

    Why it matters

    Became a standard modern reference explaining variational inference and its limitations.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1601.00670)
    Published
    2017
    Citations
    6,131 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists

    Editor's notes

    • Classed as survey: An explicit methodological review. (AI draft (Claude), not yet reviewed, 2026-10-29)

    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.