Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.

Devansh Arpit Huan Wang Yingbo Zhou Caiming Xiong

Published in: CoRR (2021)

Keyphrases

model selection
feature selection
cross validation
learning machines
generalization bounds
ensemble learning
ensemble methods
hyperparameters
parameter estimation
machine learning

base classifiers
sample size
mixture model
learning algorithm
bayesian learning
regression model
weak learners
statistical learning
generalization error

meta learning
selection criterion
gaussian process
information criterion
statistical inference
model selection criteria
marginal likelihood
bayesian information criterion
error estimation

leave one out cross validation
variable selection
training data
training set
active learning
markov random field
weak classifiers
bayesian methods
learning theory