Principled Architecture-aware Scaling of Hyperparameters.
Wuyang ChenJunru WuZhangyang WangBoris HaninPublished in: ICLR (2024)
Keyphrases
- hyperparameters
- model selection
- cross validation
- closed form
- bayesian framework
- maximum likelihood
- em algorithm
- support vector
- bayesian inference
- prior information
- maximum a posteriori
- random sampling
- regularization parameter
- gaussian process
- sample size
- incomplete data
- noise level
- gaussian processes
- incremental learning
- parameter settings
- data sets
- parameter space
- grid search