Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta. CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 1488-1497, PMLR, 2022. [doi]
@inproceedings{NemirovskyTXG22,
title = {CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs},
author = {Daniel Nemirovsky and Nicolas Thiebaut and Ye Xu and Abhishek Gupta},
year = {2022},
url = {https://proceedings.mlr.press/v180/nemirovsky22a.html},
researchr = {https://researchr.org/publication/NemirovskyTXG22},
cites = {0},
citedby = {0},
pages = {1488-1497},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
editor = {James Cussens and Kun Zhang 0001},
volume = {180},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}