Risk-Controlling Model Selection via Guided Bayesian Optimization.
Bracha Laufer-GoldshteinAdam FischRegina BarzilayTommi S. JaakkolaPublished in: CoRR (2023)
Keyphrases
- model selection
- bayesian learning
- cross validation
- marginal likelihood
- statistical inference
- bayesian model selection
- covariate shift
- parameter estimation
- regression model
- sample size
- machine learning
- bayesian methods
- hyperparameters
- model selection criteria
- bayesian approaches
- mixture model
- error estimation
- gaussian process
- selection criterion
- statistical learning
- motion segmentation
- variable selection
- meta learning
- generalization error
- posterior probability
- parameter determination
- bayesian inference
- generative model
- bayesian networks