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Peer-reviewedLicence not statedThe Annals of Statistics

Unbiased kinetic Langevin Monte Carlo with inexact gradients

  • Neil K. Chada1
  • Benedict Leimkuhler2
  • Daniel Paulin3
  • Peter A. Whalley4
4 affiliations
  1. 1Department of Mathematics, City University of Hong Kong
  2. 2School of Mathematics, University of Edinburgh
  3. 3School of Physical and Mathematical Sciences, Nanyang Technological University
  4. 4Seminar for Statistics, ETH Zurich
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{chada2026unbiased,
  title = {{Unbiased kinetic Langevin Monte Carlo with inexact gradients}},
  author = {Neil K. Chada and Benedict Leimkuhler and Daniel Paulin and Peter A. Whalley},
  journal = {The Annals of Statistics},
  year = {2026},
  month = aug,
  doi = {10.1214/26-aos2630},
  url = {https://www.research.ed.ac.uk/en/publications/fc0cc068-8408-4016-a06d-fca3eb6aeb1b},
}
RIS
TY  - JOUR
TI  - Unbiased kinetic Langevin Monte Carlo with inexact gradients
AU  - Neil K. Chada
AU  - Benedict Leimkuhler
AU  - Daniel Paulin
AU  - Peter A. Whalley
PY  - 2026
DA  - 2026/08/01
JO  - The Annals of Statistics
DO  - 10.1214/26-aos2630
UR  - https://www.research.ed.ac.uk/en/publications/fc0cc068-8408-4016-a06d-fca3eb6aeb1b
SN  - 0090-5364
SN  - 2168-8966
ER  -