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