Login / Signup
How Good Are Low-Rank Approximations in Gaussian Process Regression?
Constantinos Daskalakis
Petros Dellaportas
Aristeidis Panos
Published in:
AAAI (2022)
Keyphrases
</>
gaussian process regression
low rank approximation
singular value decomposition
low rank
subspace learning
gaussian process
gaussian processes
kernel matrix
spectral clustering
iterative algorithms
adjacency matrix
nonnegative matrix factorization
latent semantic indexing
feature space
dimensionality reduction