Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning.
Moncef GarouaniAdeel AhmadMourad BouneffaMohamed HamlichPublished in: SADASC (2022)
Keyphrases
- hyperparameters
- machine learning
- model selection
- posterior distribution
- bayesian methods
- bayesian inference
- maximum likelihood
- gaussian processes
- cross validation
- closed form
- grid search
- marginal likelihood
- support vector
- bayesian framework
- conjugate priors
- parameter optimization
- gaussian process
- incremental learning
- prior information
- sample size
- em algorithm
- noise level
- maximum a posteriori
- parameter estimation
- incomplete data
- random sampling
- learning algorithm
- data analysis
- data mining
- posterior probability
- bayesian networks
- probabilistic model
- supervised learning
- probability distribution
- decision trees
- pairwise
- prior knowledge
- image reconstruction