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Peer-reviewedLicence not statedProbability Theory and Related Fields

Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA

  • Gérard Ben Arous1,2
  • Cédric Gerbelot1,3,2,4
  • Vanessa Piccolo3,4
4 affiliations
  1. 1Courant Institute of Mathematical Sciences, New York University, New York, USA
  2. 2CIMS - Courant Institute of Mathematical Sciences [New York] (251, Mercier Street, New York, NY 10012 - United States)
  3. 3Unité de Mathématiques Pures et Appliquées (UMPA), ENS, Lyon, France
  4. 4UMPA-ENSL - Unité de Mathématiques Pures et Appliquées (France)
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Cite

BibTeXRIS
BibTeX
@article{arous2026langevin,
  title = {{Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA}},
  author = {Gérard Ben Arous and Cédric Gerbelot and Vanessa Piccolo},
  journal = {Probability Theory and Related Fields},
  year = {2026},
  month = jul,
  doi = {10.1007/s00440-026-01506-9},
  url = {https://arxiv.org/abs/2408.06401},
}
RIS
TY  - JOUR
TI  - Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA
AU  - Gérard Ben Arous
AU  - Cédric Gerbelot
AU  - Vanessa Piccolo
PY  - 2026
DA  - 2026/07/27
JO  - Probability Theory and Related Fields
DO  - 10.1007/s00440-026-01506-9
UR  - https://arxiv.org/abs/2408.06401
SN  - 0178-8051
SN  - 1432-2064
ER  -