Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference.
Vidhi LalchandAditya RavuriNeil D. LawrencePublished in: CoRR (2022)
Keyphrases
- variational inference
- bayesian inference
- gaussian process
- topic models
- gaussian process latent variable models
- variational methods
- probabilistic model
- posterior distribution
- latent space
- probabilistic graphical models
- latent dirichlet allocation
- closed form
- mixture model
- exponential family
- approximate inference
- bayesian framework
- parameter estimation
- expectation maximization
- data sets
- generative model
- particle filter
- prior knowledge
- bayesian networks
- machine learning