On the inability of Gaussian process regression to optimally learn compositional functions.

Matteo Giordano Kolyan Ray Johannes Schmidt-Hieber

Published in: NeurIPS (2022)

Keyphrases

gaussian process regression
gaussian processes
gaussian process
covariance function
similarity measure
reinforcement learning
machine learning
clustering algorithm
higher order
image reconstruction