Approximate Inference Turns Deep Networks into Gaussian Processes.
Mohammad Emtiyaz KhanAlexander ImmerEhsan AbediMaciej KorzepaPublished in: CoRR (2019)
Keyphrases
- approximate inference
- gaussian process
- gaussian processes
- exact inference
- regression model
- bayesian framework
- model selection
- expectation propagation
- graphical models
- latent variables
- hyperparameters
- dynamic bayesian networks
- belief propagation
- semi supervised
- probabilistic inference
- human pose estimation
- parameter estimation
- error rate
- support vector
- bayesian methods
- conditional probabilities
- message passing
- missing data
- upper bound