Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders.
Minyoung KimPublished in: CVPR (2022)
Keyphrases
- gaussian process
- approximate inference
- variational methods
- dynamic bayesian networks
- gaussian processes
- expectation propagation
- free energy
- exact inference
- regression model
- semi supervised
- variational inference
- bayesian framework
- latent variables
- model selection
- hyperparameters
- loopy belief propagation
- graphical models
- marginal likelihood
- probabilistic graphical models
- denoising
- probabilistic inference
- belief propagation
- bayesian methods
- text mining
- machine learning
- maximum a posteriori
- conditional random fields
- missing data
- parameter estimation
- image segmentation