Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process.
Weihan LiYule WangChengrui LiAnqi WuPublished in: CoRR (2024)
Keyphrases
- gaussian process
- state space
- gaussian processes
- latent space
- approximate inference
- gaussian process regression
- regression model
- semi supervised
- dynamical models
- model selection
- gaussian process classification
- latent variables
- bayesian framework
- hyperparameters
- non stationary
- covariance function
- reinforcement learning
- dynamical model
- sparse approximations
- gaussian process models
- state variables
- image representation
- expectation propagation
- search space
- learning algorithm