Posterior Temperature Optimization in Variational Inference.
Max-Heinrich LavesMalte TölleAlexander SchlaeferPublished in: CoRR (2021)
Keyphrases
- variational inference
- posterior distribution
- gaussian process
- bayesian inference
- probabilistic model
- probability distribution
- bayesian framework
- mixture model
- parameter estimation
- topic models
- hyperparameters
- latent variables
- latent dirichlet allocation
- higher order
- variational methods
- machine learning
- model selection
- regression model
- co occurrence
- approximate inference
- probabilistic graphical models