Gaussian Process Conditional Density Estimation.
Vincent DutordoirHugh SalimbeniJames HensmanMarc Peter DeisenrothPublished in: NeurIPS (2018)
Keyphrases
- gaussian process
- conditional density estimation
- monte carlo
- gaussian processes
- density ratio estimation
- regression model
- model selection
- bayesian framework
- gaussian process regression
- hyperparameters
- density ratio
- outlier detection
- latent variables
- least squares
- semi supervised
- gaussian process models
- support vector machine
- markov chain
- support vector
- signal processing