Evolutionary stochastic gradient Langevin dynamics: overcoming local traps in large-scale Bayesian sampling

Yushu Huang, Faming Liang

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DOI: 10.1007/s11222-026-11020-6
Published: 2026-11-05
Container: Statistics and Computing
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11222-026-11020-6,
  title = {Evolutionary stochastic gradient Langevin dynamics: overcoming local traps in large-scale Bayesian sampling},
  author = {Yushu Huang and Faming Liang},
  year = {2026},
  journal = {Statistics and Computing},
  doi = {10.1007/s11222-026-11020-6},
  url = {https://doi.org/10.1007/s11222-026-11020-6}
}

RIS

TY  - JOUR
TI  - Evolutionary stochastic gradient Langevin dynamics: overcoming local traps in large-scale Bayesian sampling
AU  - Yushu Huang
AU  - Faming Liang
PY  - 2026
JO  - Statistics and Computing
DO  - 10.1007/s11222-026-11020-6
UR  - https://doi.org/10.1007/s11222-026-11020-6
ER  -

APA

Huang, Y., & Liang, F. (2026). Evolutionary stochastic gradient Langevin dynamics: overcoming local traps in large-scale Bayesian sampling. Statistics and Computing. https://doi.org/10.1007/s11222-026-11020-6

Source records

crossref · retrieved 2026-11-09T06:47:56.921Z