Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations.
John W. PaisleySebastian RowlandJeremiah Zhe LiuBrent A. CoullMarianthi-Anna KioumourtzoglouPublished in: Big Data (2022)
Keyphrases
- bayesian nonparametric
- gaussian process
- gaussian processes
- bayesian framework
- variational inference
- regression model
- model selection
- latent variables
- posterior distribution
- approximate inference
- hyperparameters
- semi supervised
- marginal likelihood
- bayesian methods
- inverse reinforcement learning
- reinforcement learning
- image segmentation
- higher order