Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes.
Panagiotis TsilifisPiyush PanditaSayan GhoshValeria AndreoliThomas VandeputteLiping WangPublished in: CoRR (2020)
Keyphrases
- bayesian learning
- gaussian processes
- model selection
- relevance vector machine
- gaussian process
- hyperparameters
- posterior distribution
- cross validation
- bayesian framework
- latent variables
- latent space
- machine learning
- closed form
- approximate inference
- low dimensional
- dimensionality reduction
- feature selection
- bayesian inference
- multi task
- regression model
- generative model
- feature vectors