Regularized DeepIV with Model Selection.
Zihao LiHui LanVasilis SyrgkanisMengdi WangMasatoshi UeharaPublished in: CoRR (2024)
Keyphrases
- model selection
- cross validation
- hyperparameters
- sample size
- regression model
- parameter estimation
- bayesian learning
- statistical learning
- mixture model
- error estimation
- least squares
- feature selection
- variable selection
- statistical inference
- information criterion
- motion segmentation
- model selection criteria
- leave one out cross validation
- selection criterion
- automatic model selection
- meta learning
- machine learning
- gaussian process
- marginal likelihood
- parameter determination
- data sets
- bayesian methods
- bayesian information criterion
- probabilistic model
- data mining