Model Selection for Bayesian Autoencoders.

Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone

Published in: NeurIPS (2021)

Keyphrases

model selection
bayesian learning
marginal likelihood
bayesian model selection
statistical inference
cross validation
hyperparameters
bayesian methods
covariate shift
posterior distribution

parameter estimation
bayesian approaches
sample size
motion segmentation
model selection criteria
statistical learning
regression model
denoising
feature selection
information criterion

variable selection
generalization error
meta learning
machine learning
selection criterion
bayesian networks
mixture model
automatic model selection
gaussian processes

gaussian process
leave one out cross validation
data mining
markov chain monte carlo
posterior probability
gaussian mixture model
unsupervised learning
probabilistic model
parameter determination