Theoretical bounds on estimation error for meta-learning.

James Lucas Mengye Ren Irene Kameni Toniann Pitassi Richard S. Zemel

Published in: CoRR (2020)

Keyphrases

meta learning
estimation error
learning tasks
inductive learning
model selection
error rate
decision trees
upper bound
machine learning algorithms
machine learning
standard deviation
feature selection
lower bound
covariance matrix
worst case
data mining
average error
metamodel
step size
genetic algorithm