Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang 0002, Xiangnan He 0001. Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 3791-3800, AAAI Press, 2020. [doi]

@inproceedings{DingZP0020,
  title = {Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning},
  author = {Daizong Ding and Mi Zhang and Xudong Pan and Min Yang 0002 and Xiangnan He 0001},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/5790},
  researchr = {https://researchr.org/publication/DingZP0020},
  cites = {0},
  citedby = {0},
  pages = {3791-3800},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}