Discrete flow posteriors for variational inference in discrete dynamical systems.
Laurence AitchisonVincent AdamSrinivas C. TuragaPublished in: CoRR (2018)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- discrete dynamical systems
- cellular automata
- petri net
- dynamical systems
- probabilistic model
- probability distribution
- latent variables
- prior information
- gaussian process
- probabilistic graphical models
- bayesian framework
- hyperparameters
- variational methods
- markov networks
- topic models
- mixture model
- maximum a posteriori
- latent dirichlet allocation
- exponential family
- parameter estimation
- markov chain monte carlo
- closed form
- reinforcement learning
- least squares
- state space
- hidden variables
- density estimation
- posterior probability
- particle filter
- expectation maximization