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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels.
Michael Hutchinson
Alexander Terenin
Viacheslav Borovitskiy
So Takao
Yee Whye Teh
Marc Peter Deisenroth
Published in:
NeurIPS (2021)
Keyphrases
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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