Federated Learning of Causal Effects from Incomplete Observational Data.

Thanh Vinh Vo Young Lee Tze-Yun Leong

Published in: CoRR (2023)

Keyphrases

causal bayesian networks
causal effects
observational data
learning algorithm
learning process
causal structure
machine learning
supervised learning
experimental data
prior knowledge
dynamic programming
upper bound
text mining
causal relations