Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing.

Stefan Haas Eyke Hüllermeier

Published in: ECML/PKDD (6) (2023)

Keyphrases

observational data
experimental data
causal structure
directed acyclic graph
causal bayesian networks
causal effects
causal discovery
causal models
latent variables
sample size
causal relationships
class labels
multi label
bayesian networks
decision trees
information extraction