English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference

MPS-Authors
/persons/resource/persons85473

Muandet,  K.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons236932

Kanagawa,  M.
Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource
No external resources are shared
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

Muandet, K., Kanagawa, M., Saengkyongam, S., & Marukatat, S. (2018). Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference. In The CausalML 2018. Retrieved from https://sites.google.com/site/faim18wscausalml/program-schedule.


Cite as: https://hdl.handle.net/21.11116/0000-0003-BF80-5
Abstract
There is no abstract available