LINFA: a Python library for variational inference with normalizing flow and annealing.
Yu WangEmma R. CobianJubilee LeeFang LiuJonathan D. HauensteinDaniele E. SchiavazziPublished in: CoRR (2023)
Keyphrases
- variational inference
- bayesian inference
- variational methods
- topic models
- posterior distribution
- gaussian process
- probabilistic model
- latent dirichlet allocation
- probabilistic graphical models
- mixture model
- approximate inference
- closed form
- exponential family
- exact inference
- flow field
- simulated annealing
- generative model
- parameter estimation
- probability distribution
- prior information
- factor graphs
- latent variables
- graphical models
- posterior probability
- belief networks
- bayesian framework
- machine learning
- hyperparameters
- first order logic
- unsupervised learning
- scale space
- markov networks
- language model
- dimensionality reduction
- prior knowledge
- multiscale
- bayesian networks