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Blessing of Dependence: Identifiability and Geometry of Discrete Models
  with Multiple Binary Latent Variables
v1v2v3v4v5v6 (latest)

Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables

Bernoulli (Bernoulli), 2022
8 March 2022
Yuqi Gu
ArXiv (abs)PDFHTMLGithub

Papers citing "Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables"

5 / 5 papers shown
On Theoretical Identifiability of Discrete Latent Causal Graphical Models
On Theoretical Identifiability of Discrete Latent Causal Graphical Models
Seunghyun Lee
Yuqi Gu
CML
325
0
0
23 May 2025
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
Zijian Li
Ruichu Cai
Feng Xie
Jie Qiao
Anpeng Wu
Zijian Li
Zhifeng Hao
Kun Zhang
CML
194
4
0
11 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Kun Zhang
446
16
0
01 Jun 2024
New directions in algebraic statistics: Three challenges from 2023
New directions in algebraic statistics: Three challenges from 2023
Yulia Alexandr
Miles Bakenhus
Mark Curiel
Sameer K. Deshpande
Elizabeth Gross
...
Vishesh Karwa
Jiayi Li
Hanbaek Lyu
Sonja Petrović
Jose Israel Rodriguez
338
1
0
21 Feb 2024
Dependent Latent Class Models
Dependent Latent Class ModelsBayesian Analysis (Bayesian Anal.), 2022
Jesse Bowers
Steve Culpepper
140
0
0
18 May 2022
1
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