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    Deep learning· 1951

    A Stochastic Approximation Method

    Herbert Robbins (first author) · 1951

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    DOI 10.1214/aoms/1177729586OpenAlex W1994616650

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    Why it matters

    Established stochastic approximation principles underlying stochastic gradient descent and large-scale neural training.

    Condensed from the expert lists' notes.

    The record

    First released
    1951 (from OpenAlex)
    Citations
    9,642 citations, as counted by OpenAlex (CC0)
    Named by
    both expert lists
    Score
    0.374 · computed rank 412 · consensus 0.46, must-read 0, citations percentile 0.676 (pre-1970 · all domains), 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). Each count names its source. See the method.