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Peer-reviewedLicence not statedThe Annals of Applied Probability

On the convergence of dynamic implementations of Hamiltonian Monte Carlo and no U-turn samplers

  • Alain Durmus1
  • Samuel Gruffaz2
  • Miika Kailas3
  • Eero Saksman4
  • Matti Vihola3
4 affiliations
  1. 1CMAP, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris
  2. 2Université Paris-Saclay, ENS Paris-Saclay
  3. 3Department of Mathematics and Statistics, University of Jyväskylä
  4. 4Department of Mathematics and Statistics, University of Helsinki
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Cite

BibTeXRIS
BibTeX
@article{durmus2026convergence,
  title = {{On the convergence of dynamic implementations of Hamiltonian Monte Carlo and no U-turn samplers}},
  author = {Alain Durmus and Samuel Gruffaz and Miika Kailas and Eero Saksman and Matti Vihola},
  journal = {The Annals of Applied Probability},
  year = {2026},
  month = jun,
  doi = {10.1214/25-aap2269},
  url = {https://hal.science/hal-04397679},
}
RIS
TY  - JOUR
TI  - On the convergence of dynamic implementations of Hamiltonian Monte Carlo and no U-turn samplers
AU  - Alain Durmus
AU  - Samuel Gruffaz
AU  - Miika Kailas
AU  - Eero Saksman
AU  - Matti Vihola
PY  - 2026
DA  - 2026/06/01
JO  - The Annals of Applied Probability
DO  - 10.1214/25-aap2269
UR  - https://hal.science/hal-04397679
SN  - 1050-5164
SN  - 2168-8737
ER  -