State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes.
William J. WilkinsonPaul E. ChangMichael Riis AndersenArno SolinPublished in: ICML (2020)
Keyphrases
- gaussian process
- gaussian processes
- expectation propagation
- approximate inference
- state space
- human pose estimation
- exact inference
- model selection
- regression model
- hyperparameters
- variational methods
- bayesian framework
- bayesian methods
- latent variables
- bayesian inference
- semi supervised
- dynamic programming
- reinforcement learning
- state variables
- hidden variables
- probabilistic inference
- particle filter
- parameter estimation
- incomplete data
- multi task
- image segmentation
- closed form
- graph cuts
- active learning
- similarity measure