因果表述学习技术进展.pdf
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Kun Zhang
Methodological Advances in
Causal Representation Learning
因果表征学习技术进展
Thanks to: Biwei Huang, Weiran Yao, Feng Xie, Mingming Gong, Petar Stojanov, Yujia Zheng, Haoyue Dai…
Clark Glymour, Peter Spirtes, Bernhard Schölkopf, Aapo Hyvärinen, Ruichu Cai, Jiji Zhang, Joseph Ramsey…
Carnegie Mellon University & MBZUAI
Causality vs. Dependence
•
Causality ➜ dependence ! Dependence ➜ causality
3
X is a cause of Y iff
∃x
1
≠ x
2
P(Y|do X=x
1
) ≠ P(Y|do X=x
2
)
X and Y are associated iff
∃x
1
≠ x
2
P(Y|X=x
1
) ≠ P(Y|X=x
2
)
(http://imgs.xkcd.com/comics/correlation.png)
2
intervention
An intervention on X changes only the target variable X, leaving
any other variable unchanged, at least for the moment.
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