How Good are Low-Rank Approximations in Gaussian Process Regression?
Constantinos DaskalakisPetros DellaportasAristeidis PanosPublished in: CoRR (2021)
Keyphrases
- gaussian process regression
- low rank approximation
- singular value decomposition
- subspace learning
- low rank
- spectral clustering
- gaussian processes
- gaussian process
- kernel matrix
- iterative algorithms
- adjacency matrix
- latent semantic indexing
- nonnegative matrix factorization
- feature selection
- multi class
- semi supervised