English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators

MPS-Authors
/persons/resource/persons304647

Kladny,  Klaus-Rudolf
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
Emmy Noether Research Group Learning and Dynamical Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

/persons/resource/persons249656

von Kügelgen,  Julius
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

/persons/resource/persons84193

Schölkopf,  Bernhard       
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

/persons/resource/persons290049

Muehlebach,  Michael
Emmy Noether Research Group Learning and Dynamical Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://proceedings.mlr.press/v216/kladny23a.html
(Any fulltext)

https://arxiv.org/abs/2306.06002
(Preprint)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Kladny, K.-R., von Kügelgen, J., Schölkopf, B., & Muehlebach, M. (2023). Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators. In R. J. Evans, & I. Shpitser (Eds.), Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (pp. 1087-1097). PMLR.


Cite as: https://hdl.handle.net/21.11116/0000-0010-5D66-4
Abstract
There is no abstract available