Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference.
Luca RendsburgAgustinus KristiadiPhilipp HennigUlrike von LuxburgPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- diagnostic tool
- inductive bias
- prior information
- prior knowledge
- expectation propagation
- markov chain monte carlo
- inductive learning
- probabilistic model
- machine learning
- hyperparameters
- markov random field
- hypothesis space
- maximum a posteriori
- bayesian framework
- domain theory
- particle filter
- domain knowledge
- training examples
- pac learning
- probability distribution
- decision trees
- machine learning algorithms
- multitask learning