Sample, estimate, aggregate: A recipe for causal discovery foundation models.

Menghua Wu Yujia Bao Regina Barzilay Tommi S. Jaakkola

Published in: CoRR (2024)

Keyphrases

causal discovery
causal models
model selection
support vector
graphical models
experimental data
causal relationships
decision making
bayesian networks
learning process
probabilistic model
knn
parameter estimation
machine learning algorithms
conditional independence
causal structure