Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed.
Toni KarvonenChris J. OatesPublished in: CoRR (2022)
Keyphrases
- gaussian process regression
- maximum likelihood estimation
- maximum likelihood
- gaussian processes
- gaussian process
- parameter estimation
- em algorithm
- image restoration
- super resolution
- probability distribution
- expectation maximization
- density function
- hyperparameters
- higher order
- reinforcement learning
- semi supervised
- probability density function
- state space
- high dimensional
- feature space