The Seven Tools of Causal Inference, with Reflections on Machine Learning
Communications of the ACM, 2019. [All Versions]. Judea Pearl's review on causal inference in probabilistic graph models.
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
Reasoning with cause and effect ftp.cs.ucla.edu
1998. Judea Pearl's tutorials on causal reasoning with operations on Bayesian networks.
-
Social Networks and Causal Inference link.springer.com
-
Toward Causal Representation Learning cardiacmr.hms.harvard.edu
Proceedings of the IEEE, 2021. [All Versions]. Yoshua Bengio's review on the perspective of treating causal inference as a representation learning problem.
-
Constraints on Hypothesis Selection in Causal Learning cogsci.mindmodeling.org
CogSci'15, 2015. [All Versions].
-
Learning Causal Schemata escholarship.org
CogSci'07, 2007, [[All Versions](https://scholar.google.com/scholar?
-
How do people generalize causal relations over objects? A non-parametric Bayesian account link.springer.com
Computational Brain & Behavior, 2022. [All Versions]. [Preprint]. How do people decide how general a causal relationship is, in terms of the entities or situations it applies to? What features do people use to decide whether a new situation is governed by a new causal law or an…
AGI & CoCoSci › Papers > Causality: “Communications of the ACM, 2019. [All Versions]. Judea Pearl's review on causal inference in probabilistic graph models.”