Optimizing Hyperparameters with Conformal Quantile Regression.
David SalinasJacek GolebiowskiAaron KleinMatthias W. SeegerCédric ArchambeauPublished in: CoRR (2023)
Keyphrases
- hyperparameters
- quantile regression
- cross validated
- cross validation
- model selection
- bayesian inference
- closed form
- support vector
- random sampling
- bayesian framework
- gaussian process
- posterior distribution
- em algorithm
- maximum likelihood
- sample size
- noise level
- maximum a posteriori
- prior information
- incremental learning
- least squares
- incomplete data
- bayesian methods
- gaussian processes
- generative model
- machine learning
- probabilistic model
- parameter space
- logistic regression
- upper bound
- image sequences
- expectation maximization
- noisy images
- parameter estimation
- computer vision
- data sets