Causal Relational Learning

@article{Salimi2020CausalRL,
  title={Causal Relational Learning},
  author={Babak Salimi and Harsh Parikh and Moe Kayali and Sudeepa Roy and Lise Getoor and Dan Suciu},
  journal={Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data},
  year={2020}
}
  • Babak SalimiHarsh Parikh Dan Suciu
  • Published 7 April 2020
  • Computer Science
  • Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
Causal inference is at the heart of empirical research in natural and social sciences and is critical for scientific discovery and informed decision making. The gold standard in causal inference is performing randomized controlled trials ; unfortunately these are not always feasible due to ethical, legal, or cost constraints. As an alternative, methodologies for causal inference from observational data have been developed in statistical studies and social sciences. However, existing methods… 
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26 Citations
Highly Influential Citations
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Background Citations
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Methods Citations
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Results Citations
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26 Citations

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60 References

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Learning Causal Models of Relational Domains

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