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    Machine learning foundations· 2011

    The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

    Matthew D. Hoffman (first author) · 2011 · published 2014

    Read the original

    arXiv 1111.4246OpenAlex W2129728285

    On the reading lists

    Why it matters

    Made efficient gradient-based MCMC substantially easier to automate and deploy.

    Condensed from the expert lists' notes.

    The record

    First released
    2011 (from arXiv 1111.4246)
    Published
    2014
    Citations
    5,607 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.399 · computed rank 367 · consensus 0.385, must-read 0, citations percentile 0.811 (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.