Quasi-Monte Carlo Variational Inference.
Alexander BuchholzFlorian WenzelStephan MandtPublished in: ICML (2018)
Keyphrases
- variational inference
- quasi monte carlo
- bayesian inference
- particle filter
- monte carlo
- variance reduction
- topic models
- mixture model
- gaussian process
- probabilistic model
- probabilistic graphical models
- posterior distribution
- state space
- latent dirichlet allocation
- variational methods
- closed form
- visual tracking
- factor graphs
- exponential family
- hyperparameters
- approximate inference
- particle filtering
- exact inference
- graphical models
- latent variables
- markov chain
- generative model
- reinforcement learning
- kalman filter
- co occurrence
- random variables
- least squares
- expectation maximization
- model selection