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Marginal likelihood and model selection for Gaussian latent tree and
  forest models
v1v2 (latest)

Marginal likelihood and model selection for Gaussian latent tree and forest models

29 December 2014
Mathias Drton
Shaowei Lin
Luca Weihs
Piotr Zwiernik
ArXiv (abs)PDFHTML

Papers citing "Marginal likelihood and model selection for Gaussian latent tree and forest models"

5 / 5 papers shown
Title
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
132
5
0
01 Jun 2024
Upper Bound of Bayesian Generalization Error in Partial Concept
  Bottleneck Model (CBM): Partial CBM outperforms naive CBM
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM
Naoki Hayashi
Yoshihide Sawada
70
1
0
14 Mar 2024
Bayesian Generalization Error in Linear Neural Networks with Concept
  Bottleneck Structure and Multitask Formulation
Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation
Naoki Hayashi
Yoshihide Sawada
UQCVBDL
64
3
0
16 Mar 2023
The Exact Asymptotic Form of Bayesian Generalization Error in Latent
  Dirichlet Allocation
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation
Naoki Hayashi
76
16
0
04 Aug 2020
Variational Approximation Error in Bayesian Non-negative Matrix
  Factorization
Variational Approximation Error in Bayesian Non-negative Matrix Factorization
Naoki Hayashi
71
8
0
09 Sep 2018
1