Perturbation Theory for the Information Bottleneck

Vudtiwat Ngampruetikorn, David J. Schwab. Perturbation Theory for the Information Bottleneck. 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 21008-21018, 2021. [doi]

@inproceedings{NgampruetikornS21,
  title = {Perturbation Theory for the Information Bottleneck},
  author = {Vudtiwat Ngampruetikorn and David J. Schwab},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/af8d9c4e238c63fb074b44eb6aed80ae-Abstract.html},
  researchr = {https://researchr.org/publication/NgampruetikornS21},
  cites = {0},
  citedby = {0},
  pages = {21008-21018},
  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},
}