Structured Dropout Variational Inference for Bayesian Neural Networks.
Son NguyenDuong NguyenKhai NguyenKhoat ThanHung BuiNhat HoPublished in: NeurIPS (2021)
Keyphrases
- variational inference
- bayesian inference
- neural network
- posterior distribution
- topic models
- probabilistic model
- gaussian process
- mixture model
- variational methods
- latent dirichlet allocation
- closed form
- probabilistic graphical models
- probability distribution
- prior information
- exponential family
- hyperparameters
- fuzzy logic
- posterior probability
- exact inference
- latent variables
- bayesian framework
- parameter estimation
- approximate inference
- bayesian networks
- factor graphs
- graphical models
- particle filter
- markov networks
- maximum likelihood
- maximum a posteriori
- generative model
- markov chain monte carlo
- regression model
- structured prediction
- language model
- gaussian distribution
- incremental learning