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%0 Conference Paper
%1 conf/icaif/ZhangBP22a
%A Zhang, Wei
%A Barr, Brian
%A Paisley, John
%B ICAIF
%D 2022
%E Magazzeni, Daniele
%E Kumar, Senthil
%E Savani, Rahul
%E Xu, Renyuan
%E Ventre, Carmine
%E Horvath, Blanka
%E Hu, Ruimeng
%E Balch, Tucker
%E Toni, Francesca
%I ACM
%K dblp
%P 44-52
%T Understanding Counterfactual Generation using Maximum Mean Discrepancy.
%U http://dblp.uni-trier.de/db/conf/icaif/icaif2022.html#ZhangBP22a
%@ 978-1-4503-9376-8
@inproceedings{conf/icaif/ZhangBP22a,
added-at = {2022-10-25T00:00:00.000+0200},
author = {Zhang, Wei and Barr, Brian and Paisley, John},
biburl = {https://www.bibsonomy.org/bibtex/208d0bf1358c9eb14c8719ac646447e5e/dblp},
booktitle = {ICAIF},
crossref = {conf/icaif/2022},
editor = {Magazzeni, Daniele and Kumar, Senthil and Savani, Rahul and Xu, Renyuan and Ventre, Carmine and Horvath, Blanka and Hu, Ruimeng and Balch, Tucker and Toni, Francesca},
ee = {https://doi.org/10.1145/3533271.3561759},
interhash = {4e9e78bd0a43009195e7e7c4586399a3},
intrahash = {08d0bf1358c9eb14c8719ac646447e5e},
isbn = {978-1-4503-9376-8},
keywords = {dblp},
pages = {44-52},
publisher = {ACM},
timestamp = {2024-04-10T00:06:03.000+0200},
title = {Understanding Counterfactual Generation using Maximum Mean Discrepancy.},
url = {http://dblp.uni-trier.de/db/conf/icaif/icaif2022.html#ZhangBP22a},
year = 2022
}