VarGrad: A Low-Variance Gradient Estimator for Variational Inference.
Lorenz RichterAyman BoustatiNikolas NüskenFrancisco J. R. RuizÖmer Deniz AkyildizPublished in: CoRR (2020)
Keyphrases
- variational inference
- low variance
- unbiased estimator
- bias variance
- bayesian inference
- topic models
- probabilistic model
- real valued
- posterior distribution
- probabilistic graphical models
- mixture model
- variational methods
- gaussian process
- latent dirichlet allocation
- exponential family
- maximum likelihood
- closed form
- naive bayes
- least squares
- exact inference
- maximum a posteriori
- factor graphs
- graphical models
- latent variables
- hyperparameters
- prior information
- generative model
- model selection
- generalization error
- probability distribution
- bayesian framework
- probabilistic inference
- data sets
- belief propagation
- em algorithm
- semi supervised
- active learning
- decision trees