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    Machine learning foundations· 2011

    Bayesian Learning via Stochastic Gradient Langevin Dynamics

    Max Welling (first author) · 2011

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    OpenAlex W2167433878

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    Why it matters

    Connected stochastic-gradient optimization with posterior sampling for large-scale Bayesian learning.

    Condensed from the expert lists' notes.

    The record

    First released
    2011 (from oracle lists)
    Citations
    3,441 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    the chatgpt list only
    Score
    0.285 · computed rank 639 · consensus 0.1, must-read 0, citations percentile 0.73 (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.