Gaussian Process Conditional Density Estimation.
Vincent DutordoirHugh SalimbeniMarc Peter DeisenrothJames HensmanPublished in: CoRR (2018)
Keyphrases
- gaussian process
- conditional density estimation
- monte carlo
- gaussian processes
- density ratio estimation
- regression model
- latent variables
- gaussian process regression
- density ratio
- outlier detection
- model selection
- bayesian framework
- hyperparameters
- semi supervised
- gaussian process models
- least squares
- data mining
- random variables