Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization.
Kashyap ChittaJose M. AlvarezAdam LesnikowskiPublished in: CoRR (2018)
Keyphrases
- variational inference
- probabilistic model
- bayesian inference
- topic models
- factor graphs
- probabilistic graphical models
- bayesian networks
- posterior distribution
- latent dirichlet allocation
- generative model
- mixture model
- gaussian process
- exact inference
- variational methods
- posterior probability
- exponential family
- latent variables
- prior information
- kl divergence
- expectation maximization
- graphical models
- hyperparameters
- machine learning
- multiscale
- hidden variables
- maximum likelihood
- message passing
- belief networks
- belief propagation
- conditional random fields