Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing.
Matthias KönigHolger H. HoosJan N. van RijnPublished in: AAAI (2024)
Keyphrases
- model selection
- neural network
- cross validation
- hyperparameters
- parameter estimation
- sample size
- statistical learning
- regression model
- generalization error
- gaussian process
- meta learning
- motion segmentation
- model selection criteria
- mixture model
- bayesian learning
- marginal likelihood
- unsupervised learning
- selection criterion
- statistical inference
- error estimation
- machine learning
- variable selection
- least squares
- bayesian methods
- feature selection
- parameter determination
- automatic model selection
- training set
- support vector
- bayesian networks
- decision trees
- bayesian information criterion
- information criterion
- learning algorithm
- subspace information criterion