AutoXplain: Towards Automated Interpretable Model Selection.
Tessel HaagenHeysem KayaJoop SnijderMelchior NiermanPublished in: xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- sample size
- error estimation
- selection criterion
- mixture model
- meta learning
- statistical learning
- information criterion
- variable selection
- regression model
- machine learning
- model selection criteria
- motion segmentation
- marginal likelihood
- feature selection
- leave one out cross validation
- generalization error
- statistical inference
- generalization bounds
- parameter determination
- bayesian methods
- hypothesis tests
- gaussian process
- support vector