Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference.
Jian XuDelu ZengJohn W. PaisleyPublished in: CoRR (2024)
Keyphrases
- gaussian processes
- gaussian process
- variational inference
- denoising
- dirichlet process
- approximate inference
- model selection
- hyperparameters
- image denoising
- bayesian inference
- multi task learning
- bayesian framework
- semi supervised
- noisy images
- latent variables
- posterior distribution
- regression model
- high dimensional
- multi task
- co occurrence
- data points
- variational methods
- support vector
- latent dirichlet allocation
- topic models
- generative model
- natural images
- probability distribution
- dynamic bayesian networks
- prior knowledge