Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges.
Shrijita BhattacharyaZihuan LiuTapabrata MaitiPublished in: CoRR (2020)
Keyphrases
- computational challenges
- variational bayes
- posterior distribution
- neural network
- hyperparameters
- latent variables
- bayesian learning
- bayesian inference
- probability distribution
- bayesian framework
- parameter estimation
- support vector
- markov chain monte carlo
- free energy
- gaussian process
- gaussian mixture model
- huge number
- maximum a posteriori
- model selection
- posterior probability
- cross validation
- probabilistic model
- latent dirichlet allocation
- exponential family
- self organizing maps
- feature selection
- data sets
- closed form
- em algorithm
- maximum likelihood
- training set
- expectation maximization
- markov chain
- markov random field
- prior knowledge
- feature space