Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels.
Michael HutchinsonAlexander TereninViacheslav BorovitskiySo TakaoYee Whye TehMarc Peter DeisenrothPublished in: NeurIPS (2021)
Keyphrases
- vector valued
- gaussian processes
- reproducing kernel hilbert space
- gaussian process
- riemannian manifolds
- euclidean space
- bayesian framework
- matrix valued
- regression model
- model selection
- kernel methods
- kernel function
- latent variables
- semi supervised
- hyperparameters
- loss function
- multi task learning
- learning theory
- data dependent
- kernel matrix
- reinforcement learning
- image processing
- learning problems
- geometric structure
- distance measure
- training data
- image segmentation