Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions

Todd Huster, Jeremy E. J. Cohen, Zinan Lin 0001, Kevin Chan, Charles A. Kamhoua, Nandi O. Leslie, Cho-Yu Jason Chiang, Vyas Sekar. Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 4523-4532, PMLR, 2021. [doi]

@inproceedings{HusterC0CKLCS21,
  title = {Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions},
  author = {Todd Huster and Jeremy E. J. Cohen and Zinan Lin 0001 and Kevin Chan and Charles A. Kamhoua and Nandi O. Leslie and Cho-Yu Jason Chiang and Vyas Sekar},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/huster21a.html},
  researchr = {https://researchr.org/publication/HusterC0CKLCS21},
  cites = {0},
  citedby = {0},
  pages = {4523-4532},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}