1. Arjovsky, M., & Bottou, L. (2017). Towards principled methods for training generative adversarial networks. arXiv preprint arXiv:1701.04862
2. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein GAN. arXiv preprint arXiv:1701.07875
3. Arora, S., Ge, R., Liang, Y., Ma, T., & Zhang, Y. (2017). Generalization and equilibrium in generative adversarial nets (GANs). arXiv preprint arXiv:1703.00573
4. Border, K. C. (1989). Fixed point theorems with applications to economics and game theory. Cambridge: Cambridge University Press.
5. Carando, D., Fraiman, R., & Groisman, P. (2009). Nonparametric likelihood based estimation for a multivariate lipschitz density. Journal of Multivariate Analysis, 100(5), 981–992.