Spectral top-down recovery of latent tree models

Yariv Aizenbud; Ariel Jaffe; Meng Wang; Amber Hu; Noah Amsel; Boaz Nadler; Joseph T. Chang; Yuval Kluger

doi:10.48550/ARXIV.2102.13276

Spectral top-down recovery of latent tree models

Yariv Aizenbud, Ariel Jaffe, Meng Wang, Amber Hu, Noah Amsel, Boaz Nadler, Joseph T. Chang, Yuval Kluger

Department of Statistics

Research output: Working paper/preprint › Preprint

Original language	English
Publisher	arXiv
DOIs	https://doi.org/10.48550/ARXIV.2102.13276
State	Published - 2021

Keywords

Machine Learning (stat.ML)
Machine Learning (cs.LG)
Populations and Evolution (q-bio.PE)
FOS: Computer and information sciences
FOS: Biological sciences

Access to Document

10.48550/ARXIV.2102.13276

https://arxiv.org/abs/2102.13276

Cite this

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title = "Spectral top-down recovery of latent tree models",

keywords = "Machine Learning (stat.ML), Machine Learning (cs.LG), Populations and Evolution (q-bio.PE), FOS: Computer and information sciences, FOS: Biological sciences",

author = "Yariv Aizenbud and Ariel Jaffe and Meng Wang and Amber Hu and Noah Amsel and Boaz Nadler and Chang, {Joseph T.} and Yuval Kluger",

year = "2021",

doi = "10.48550/ARXIV.2102.13276",

language = "אנגלית",

publisher = "arXiv",

type = "WorkingPaper",

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T1 - Spectral top-down recovery of latent tree models

AU - Aizenbud, Yariv

AU - Jaffe, Ariel

AU - Wang, Meng

AU - Hu, Amber

AU - Amsel, Noah

AU - Nadler, Boaz

AU - Chang, Joseph T.

AU - Kluger, Yuval

PY - 2021

Y1 - 2021

KW - Machine Learning (stat.ML)

KW - Machine Learning (cs.LG)

KW - Populations and Evolution (q-bio.PE)

KW - FOS: Computer and information sciences

KW - FOS: Biological sciences

U2 - 10.48550/ARXIV.2102.13276

DO - 10.48550/ARXIV.2102.13276

M3 - פרסום מוקדם

BT - Spectral top-down recovery of latent tree models

PB - arXiv

ER -