Challenges and Opportunities in High Dimensional Variational Inference.
Akash Kumar DhakaAlejandro CatalinaManushi WelandaweMichael Riis AndersenJonathan H. HugginsAki VehtariPublished in: NeurIPS (2021)
Keyphrases
- variational inference
- high dimensional
- bayesian inference
- probabilistic graphical models
- posterior distribution
- topic models
- probabilistic model
- variational methods
- gaussian process
- latent dirichlet allocation
- mixture model
- closed form
- dimensionality reduction
- low dimensional
- feature space
- exponential family
- prior information
- support vector
- maximum likelihood
- energy function
- image segmentation
- maximum a posteriori
- bayesian framework
- latent variables
- graphical models
- semi supervised
- markov chain monte carlo
- data points