Implicit Variational Inference for High-Dimensional Posteriors.
Anshuk UppalKristoffer Stensbo-SmidtWouter K. BoomsmaJes FrellsenPublished in: CoRR (2023)
Keyphrases
- variational inference
- bayesian inference
- high dimensional
- posterior distribution
- probability distribution
- probabilistic model
- latent variables
- low dimensional
- bayesian framework
- gaussian process
- parameter estimation
- topic models
- maximum a posteriori
- prior information
- hyperparameters
- dimensionality reduction
- data points
- posterior probability
- markov networks
- markov chain monte carlo
- closed form
- mixture model
- variational methods
- probabilistic graphical models
- parameter space
- hidden variables
- high dimensional data
- exponential family
- latent dirichlet allocation
- metric space
- probability density function
- factor graphs
- feature space