Causal discovery

Key question

Can a model learn causes?

Check your understanding

Find an example, an application and a limit. Explain the concept without using its name, then compare your explanation with a primary source.

Claims to examine

• A predictive representation need not identify variables that remain valid under intervention.

  Editorial claim · contestedExamine the source →

Follow a learning route

• Can a model learn causes?

  Connect structural causal models, identification, invariant prediction and counterfactual explanations.

Reading connections

• Causal Inference: What If

  Hernán · Robins

• Causal Inference in Statistics: A Primer

  Pearl, Glymour · Jewell

• Causal inference by using invariant prediction: identification and confidence intervals

  Peters, Bühlmann · Meinshausen

• Invariant Risk Minimization

  Arjovsky et al.

• Toward Causal Representation Learning

  Schölkopf et al.

• Nonlinear causal discovery with additive noise models

  Hoyer et al.