Generalised GPLVM with Stochastic Variational Inference.
Vidhi LalchandAditya RavuriNeil D. LawrencePublished in: AISTATS (2022)
Keyphrases
- variational inference
- bayesian inference
- topic models
- latent dirichlet allocation
- variational methods
- gaussian process
- probabilistic model
- mixture model
- probabilistic graphical models
- posterior distribution
- closed form
- exponential family
- monte carlo
- exact inference
- graphical models
- approximate inference
- factor graphs
- latent variables
- bayesian framework
- generative model
- data mining
- markov networks
- prior information
- log likelihood
- hidden markov models
- pairwise
- information retrieval
- machine learning