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

The Hebrew University of Jerusalem

Research output: Working paper › Preprint

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

Keywords

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

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

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 = "الإنجليزيّة",

type = "WorkingPaper",

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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 - FOS: Biological sciences

KW - FOS: Computer and information sciences

KW - Machine Learning (cs.LG)

KW - Machine Learning (stat.ML)

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

U2 - 10.48550/ARXIV.2102.13276

DO - 10.48550/ARXIV.2102.13276

M3 - نسخة اولية

BT - Spectral top-down recovery of latent tree models

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