Precise Learning Curves and Higher-Order Scaling Limits for Dot Product Kernel Regression.

Lechao Xiao Jeffrey Pennington

Published in: CoRR (2022)

Keyphrases

kernel regression
learning curves
dot product
higher order
learning curve
average case
regression model
kernel function
similarity function
feature space
pairwise
learning algorithm
random graphs
linear regression
gaussian processes
markov random field
data sets
conditional random fields
worst case
feature vectors