Validate on Sim, Detect on Real - Model Selection for Domain Randomization.
Gal LeibovichGuy JacobShadi EndrawisGal NovikAviv TamarPublished in: ICRA (2022)
Keyphrases
- model selection
- cross validation
- bayesian learning
- parameter estimation
- hyperparameters
- error estimation
- statistical learning
- feature selection
- sample size
- machine learning
- model selection criteria
- mixture model
- meta learning
- real world
- variable selection
- motion segmentation
- generalization bounds
- regression model
- statistical inference
- generalization error
- marginal likelihood
- selection criterion
- data mining
- gaussian process
- incremental learning
- independent component analysis
- closed form
- leave one out cross validation
- statistical model
- support vector machine
- bayesian model selection