%0 Conference Paper %1 conf/uai/NemirovskyTXG22 %A Nemirovsky, Daniel %A Thiebaut, Nicolas %A Xu, Ye %A Gupta, Abhishek %B UAI %D 2022 %E Cussens, James %E Zhang, Kun %I PMLR %K dblp %P 1488-1497 %T CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs. %U http://dblp.uni-trier.de/db/conf/uai/uai2022.html#NemirovskyTXG22 %V 180

@inproceedings{conf/uai/NemirovskyTXG22, added-at = {2022-10-15T00:00:00.000+0200}, author = {Nemirovsky, Daniel and Thiebaut, Nicolas and Xu, Ye and Gupta, Abhishek}, biburl = {https://www.bibsonomy.org/bibtex/21ecb47f7b3510ab7eb5c949af51f6dfe/dblp}, booktitle = {UAI}, crossref = {conf/uai/2022}, editor = {Cussens, James and Zhang, Kun}, ee = {https://proceedings.mlr.press/v180/nemirovsky22a.html}, interhash = {8a894b2ac176d2b4a3db2e24ad18b5ce}, intrahash = {1ecb47f7b3510ab7eb5c949af51f6dfe}, keywords = {dblp}, pages = {1488-1497}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2024-04-09T13:32:27.000+0200}, title = {CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs.}, url = {http://dblp.uni-trier.de/db/conf/uai/uai2022.html#NemirovskyTXG22}, volume = 180, year = 2022 }