{
  "abstract": null,
  "abstract_shown": false,
  "affiliations": [
    "Department of Mathematics, City University of Hong Kong",
    "School of Mathematics, University of Edinburgh",
    "School of Physical and Mathematical Sciences, Nanyang Technological University",
    "Seminar for Statistics, ETH Zurich"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Neil K. Chada",
      "orcid": "0000-0002-2180-0985"
    },
    {
      "affs": [
        1
      ],
      "name": "Benedict Leimkuhler",
      "orcid": "0000-0001-8504-7091"
    },
    {
      "affs": [
        2
      ],
      "name": "Daniel Paulin",
      "orcid": "0000-0001-7837-6452"
    },
    {
      "affs": [
        3
      ],
      "name": "Peter A. Whalley",
      "orcid": "0000-0002-8360-0807"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1sz7jqv8rcnx7.bib",
  "cited_by": 22,
  "doi": "10.1214/26-aos2630",
  "fulltext_url": null,
  "id": "1sz7jqv8rcnx7",
  "issns": [
    "0090-5364",
    "2168-8966"
  ],
  "landing_url": "https://www.research.ed.ac.uk/en/publications/fc0cc068-8408-4016-a06d-fca3eb6aeb1b",
  "language": "en",
  "licence": "unknown",
  "licence_label": "Licence not stated",
  "licence_source": "unknown",
  "licence_url": null,
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2613|Markov Chains and Monte Carlo Methods"
    ]
  ],
  "openalex": "W4388584668",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-01",
  "publisher": "Institute of Mathematical Statistics",
  "ris": "https://research.draconitic.com/paper/1sz7jqv8rcnx7.ris",
  "sources": [
    {
      "first_seen": "2026-11-08T13:20:35Z",
      "native_id": "W4388584668",
      "source": "openalex",
      "url": "https://www.research.ed.ac.uk/en/publications/fc0cc068-8408-4016-a06d-fca3eb6aeb1b"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "openalex:2613|Markov Chains and Monte Carlo Methods",
      "subfield": "statistics"
    }
  ],
  "title": "Unbiased kinetic Langevin Monte Carlo with inexact gradients",
  "title_text": "Unbiased kinetic Langevin Monte Carlo with inexact gradients",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T13:20:59Z",
  "url": "https://research.draconitic.com/paper/1sz7jqv8rcnx7",
  "venue": "The Annals of Statistics",
  "versions": []
}