Login / Signup
Learning Deep Bayesian Latent Variable Regression Models that Generalize: When Non-identifiability is a Problem.
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
Published in:
CoRR (2019)
Keyphrases
</>
regression model
latent variables
learning algorithm
latent variable models
hidden variables
prior knowledge
posterior distribution
gaussian process
probabilistic model
maximum likelihood
learning tasks
learning problems
regression trees
information retrieval
model selection
generalized linear