Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel.

Seijin Kobayashi Pau Vilimelis Aceituno Johannes von Oswald

Published in: NeurIPS (2022)

Keyphrases

network architecture
support vector
ensemble methods
neural network
kernel function
decision trees

positive definite
kernel matrix
random forests
ensemble learning
associative memory

kernel methods
bio inspired
component analysis
correlation coefficient
covariance matrix

weighted voting
standard deviation
base classifiers
similarity function
feature space