Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors.
Yidou WengFinale Doshi-VelezPublished in: CoRR (2024)
Keyphrases
- gaussian processes
- bayesian network learning
- semi parametric
- gaussian process
- parametric models
- bayesian networks
- regression model
- density estimation
- multi task learning
- bayesian framework
- hyperparameters
- least squares
- regression problems
- multi task
- model selection
- approximate inference
- prior information
- high dimensional
- training data
- learning problems
- machine learning
- image reconstruction
- mixture model
- text classification
- multi class
- training set
- computer vision