Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data.

Sindy Löwe David Madras Richard Z. Shilling Max Welling

Published in: CLeaR (2022)

Keyphrases

causal discovery
causal structure
causal models
causal graph
learning algorithm
learning process
machine learning
databases
real world
prior knowledge
special case
probability distribution
state space
random variables