Training Bayesian Neural Networks with Sparse Subspace Variational Inference.
Junbo LiZichen MiaoQiang QiuRuqi ZhangPublished in: CoRR (2024)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- neural network
- probabilistic model
- topic models
- gaussian process
- variational methods
- probabilistic graphical models
- mixture model
- latent dirichlet allocation
- high dimensional
- closed form
- latent variables
- probability distribution
- bayesian framework
- posterior probability
- factor graphs
- supervised learning
- high dimensional data
- parameter estimation
- gaussian distribution
- exponential family
- feature space
- gaussian processes
- graphical models
- maximum a posteriori
- exact inference
- hyperparameters
- generative model
- maximum likelihood
- low dimensional
- bayesian networks