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