Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Tobias Sutter, Andreas Krause, Daniel Kuhn. Robust Generalization despite Distribution Shift via Minimum Discriminating Information. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 29754-29767, 2021. [doi]

@inproceedings{SutterKK21,
  title = {Robust Generalization despite Distribution Shift via Minimum Discriminating Information},
  author = {Tobias Sutter and Andreas Krause and Daniel Kuhn},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/f86890095c957e9b949d11d15f0d0cd5-Abstract.html},
  researchr = {https://researchr.org/publication/SutterKK21},
  cites = {0},
  citedby = {0},
  pages = {29754-29767},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}