1. Albuquerque, I., Monteiro, J., Falk, T.H., & Mitliagkas, I. (2020). Adversarial target-invariant representation learning for domain generalization. arXiv preprint arXiv:1911.00804
2. Balaji, Y., Sankaranarayanan, S., & Chellappa, R. (2018). Metareg: Towards domain generalization using meta-regularization. In Advances in Neural Information Processing Systems (pp. 998–1008).
3. Bartlett, P. L., Harvey, N., Liaw, C., & Mehrabian, A. (2019). Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks. JMLR, 20, 2285–2301.
4. Ben-David, S., Blitzer, J., Crammer, K., & Pereira, F. (2007). Analysis of representations for domain adaptation. In Advances in Neural Information Processing Systems, pp. 137–144
5. Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., & Vaughan, J. W. (2010a). A theory of learning from different domains. Machine Learning, 79(1–2), 151–175.