Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models.
Zhao LyuWai Ming TaiMladen KolarBryon AragamPublished in: AISTATS (2024)
Keyphrases
- cross validation
- gaussian graphical models
- structure learning
- graphical models
- model selection
- belief propagation
- bayesian networks
- probabilistic model
- variable selection
- random variables
- conditional independence
- markov networks
- hyperparameters
- support vector
- bayesian network classifiers
- linear models
- training set
- parameter estimation
- gaussian process
- image processing
- machine learning
- transfer learning
- image reconstruction
- regression model
- semi supervised learning
- unsupervised learning