Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously.
Karim LouniciKatia MezianiBenjamin RiuPublished in: CoRR (2020)
Keyphrases
- hyperparameters
- bayesian framework
- model selection
- regularization parameter
- random sampling
- closed form
- em algorithm
- probability distribution
- support vector
- maximum likelihood
- data points
- data sets
- cross validation
- prior information
- probabilistic model
- bayesian networks
- posterior distribution
- gaussian process
- genetic algorithm