Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis.
Xiangming MengTomoyuki ObuchiYoshiyuki KabashimaPublished in: NeurIPS (2021)
Keyphrases
- model selection
- linear regression
- statistical mechanics
- multivariate regression
- cross validation
- least squares
- parameter estimation
- sample size
- hyperparameters
- machine learning
- regression model
- information theory
- selection criterion
- information criterion
- model selection criteria
- training set
- variable selection
- generalization error
- gaussian process
- video sequences
- markov random field