Broader landscape in causal reasoning

We close our tutorial by providing awareness of the landscape of open research and challenges in causal reasoning beyond inference methods.

The broader landscape review will touch on the following topics:

  • Discovery of causal relationships from data.
  • Estimating heterogenous treatment effects
  • Machine learning, representations and causal inference.
  • Automating causal inference
  • Necessary and sufficient causes for events.

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