Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement.
Han WangEiji KawasakiGuillaume DamblinGeoffrey DanielPublished in: CoRR (2024)
Keyphrases
- regression model
- sparse bayesian learning
- gaussian processes
- decision theory
- dempster shafer
- multi layer
- relevance vector machine
- multivariate regression
- locally weighted
- regression algorithm
- bayesian analysis
- linear regression
- bayesian inference
- regression analysis
- regression methods
- uncertain data
- posterior probability
- stochastic simulation
- multivariate data
- bayesian networks
- bayesian estimation
- maximum likelihood
- support vector
- regression method
- partial least squares
- regression function
- model selection
- genetic programming
- least squares
- model averaging
- polynomial regression
- neural network