Transportability from Multiple Environments with Limited Experiments
Abstract
This paper considers the problem of transferring experimental findings learned from multiple heterogeneous domains to a target environment, in which only limited experiments can be performed. We reduce questions of transportability from multiple domains and with limited scope to symbolic derivations in the do-calculus, thus extending the treatment of transportability from full experiments introduced in Pearl and Bareinboim (2011). We further provide different graphical and algorithmic conditions for computing the transport formula for this setting, that is, a way of fusing the observational and experimental information scattered throughout different domains to synthesize a consistent estimate of the desired effects.
Cite
Text
Bareinboim et al. "Transportability from Multiple Environments with Limited Experiments." Neural Information Processing Systems, 2013.Markdown
[Bareinboim et al. "Transportability from Multiple Environments with Limited Experiments." Neural Information Processing Systems, 2013.](https://mlanthology.org/neurips/2013/bareinboim2013neurips-transportability/)BibTeX
@inproceedings{bareinboim2013neurips-transportability,
title = {{Transportability from Multiple Environments with Limited Experiments}},
author = {Bareinboim, Elias and Lee, Sanghack and Honavar, Vasant and Pearl, Judea},
booktitle = {Neural Information Processing Systems},
year = {2013},
pages = {136-144},
url = {https://mlanthology.org/neurips/2013/bareinboim2013neurips-transportability/}
}