Validate on Sim, Detect on Real - Model Selection for Domain Randomization.
Gal LeibovichGuy JacobShadi EndrawisGal NovikAviv TamarPublished in: CoRR (2021)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- statistical learning
- sample size
- machine learning
- parameter estimation
- meta learning
- real world
- mixture model
- model selection criteria
- regression model
- motion segmentation
- feature selection
- bayesian methods
- information criterion
- leave one out cross validation
- statistical inference
- selection criterion
- variable selection
- error estimation
- transfer learning
- generalization error
- active learning
- generalization bounds
- generative model
- parameter determination
- automatic model selection