Synthetic data for model selection.
Alon ShoshanNadav BhonkerIgor KviatkovskyMatan FintzGérard G. MedioniPublished in: ICML (2023)
Keyphrases
- synthetic data
- model selection
- cross validation
- hyperparameters
- bayesian learning
- data sets
- meta learning
- parameter estimation
- sample size
- real world
- mixture model
- regression model
- statistical learning
- statistical inference
- machine learning
- model selection criteria
- selection criterion
- generalization error
- variable selection
- motion segmentation
- gaussian process
- feature selection
- error estimation
- information criterion
- marginal likelihood
- real image data
- hypothesis tests
- bayesian methods
- data mining
- leave one out cross validation
- training data