Sticking the Landing: An Asymptotically Zero-Variance Gradient Estimator for Variational Inference.
Geoffrey RoederYuhuai WuDavid DuvenaudPublished in: CoRR (2017)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- topic models
- maximum likelihood
- probabilistic graphical models
- exponential family
- probabilistic model
- mixture model
- variational methods
- gaussian process
- maximum a posteriori
- latent dirichlet allocation
- closed form
- graphical models
- least squares
- approximate inference
- exact inference
- markov networks
- parameter estimation
- bayesian networks
- em algorithm
- hyperparameters
- image reconstruction
- sample size
- latent variables
- probability density function
- bayesian framework
- first order logic
- factor graphs