Bayesian frequentist bounds for machine learning and system identification.
Giacomo BaggioAlgo CarèAnna ScampicchioGianluigi PillonettoPublished in: Autom. (2022)
Keyphrases
- machine learning
- pac bayesian
- machine learning methods
- input output
- lower bound
- bayesian inference
- explanation based learning
- decision trees
- upper bound
- learning machines
- statistical inference
- recurrent neural networks
- data driven
- average case
- gaussian processes
- active learning
- bayesian methods
- bayesian learning
- machine learning approaches
- error bounds
- bayesian estimation
- learning algorithm
- statistical methods
- machine learning algorithms
- model selection
- worst case
- knowledge representation
- bayesian decision
- feature selection
- learning problems
- covariate shift
- confidence bounds
- neural network
- lower and upper bounds
- vc dimension
- statistical learning
- inductive learning
- transfer learning
- sample size
- maximum likelihood
- knowledge discovery
- bayesian networks
- artificial intelligence