We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
Introduced in Lin, Jinkun, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, and Siddhartha Sen. “Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments.” In Proceedings of the 39th International Conference on Machine Learning, 13468–504. PMLR, 2022.
For the "exact" AME, a very similar sampling scheme to Owen sampling makes for a trivial implementation.
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
Introduced in Lin, Jinkun, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, and Siddhartha Sen. “Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments.” In Proceedings of the 39th International Conference on Machine Learning, 13468–504. PMLR, 2022.
For the "exact" AME, a very similar sampling scheme to Owen sampling makes for a trivial implementation.
The text was updated successfully, but these errors were encountered: