Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Nested Counterfactual Identification from Arbitrary Surrogate Experiments #121

Open
cthoyt opened this issue Nov 1, 2022 · 0 comments
Open

Comments

@cthoyt
Copy link
Member

cthoyt commented Nov 1, 2022

ASKEM need: asking counterfactual queries, would be nice to know if the model we're doing this on is identifiable. Most of the models are cyclic models, so there probably isn't an appropriate ID algorithm, since the ony one that has been published is the ioID algorithm (#71).

Nested Counterfactual Identification from Arbitrary Surrogate Experiments
J. Correa, S. Lee, E. Bareinboim.
NeurIPS-21. In Proceedings of the 35th Annual Conference on Neural Information Processing Systems, forthcoming.
Columbia CausalAI Laboratory, Technical Report (R-79), Jun, 2021. pdf, bib

This is the counterfactual version of #72

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant