Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning.
Dawei GaoQinghua GuoMing JinGuisheng LiaoYonina C. EldarPublished in: CoRR (2022)
Keyphrases
- sparse bayesian learning
- hyperparameters
- parameter settings
- model selection
- cross validation
- closed form
- relevance vector machine
- bayesian inference
- bayesian framework
- gaussian processes
- support vector
- prior information
- gaussian process
- random sampling
- em algorithm
- sample size
- noise level
- incremental learning
- maximum likelihood
- maximum a posteriori
- incomplete data
- missing values
- parameter space
- sparse learning
- regression model
- parameter values
- noisy data
- higher order
- bayesian learning
- active learning
- bayesian networks