Fully Bayesian inference for latent variable Gaussian process models.
Suraj YerramilliAkshay IyerWei ChenDaniel W. ApleyPublished in: CoRR (2022)
Keyphrases
- gaussian process
- fully bayesian
- latent variables
- gaussian process models
- gaussian processes
- posterior distribution
- probabilistic model
- random variables
- prior knowledge
- markov chain monte carlo
- approximate inference
- topic models
- generative model
- regression model
- bayesian inference
- bayesian networks
- semi supervised
- human pose estimation
- bayesian framework
- probabilistic inference
- machine learning
- probability distribution
- decision trees