Dangers of Bayesian Model Averaging under Covariate Shift.

Pavel Izmailov Patrick Nicholson Sanae Lotfi Andrew Gordon Wilson

Published in: NeurIPS (2021)

Keyphrases

covariate shift
model selection
model averaging
domain adaptation
semi supervised learning
cross validation
data generation
hyperparameters
posterior distribution
active learning
parameter estimation
training and test data
feature selection
variable selection
gaussian process
kernel function
unsupervised learning