Stable Training of Normalizing Flows for High-dimensional Variational Inference.
Daniel AndradePublished in: CoRR (2024)
Keyphrases
- variational inference
- high dimensional
- bayesian inference
- topic models
- gaussian process
- latent dirichlet allocation
- probabilistic graphical models
- low dimensional
- training set
- variational methods
- posterior distribution
- probabilistic model
- mixture model
- dimensionality reduction
- data points
- exponential family
- high dimensional data
- parameter estimation
- closed form
- parameter space
- co occurrence
- least squares
- machine learning