Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak N. Patel. Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. 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 3043-3056, 2021. [doi]

@inproceedings{ParkAKP21,
  title = {Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection},
  author = {Chunjong Park and Anas Awadalla and Tadayoshi Kohno and Shwetak N. Patel},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/17e23e50bedc63b4095e3d8204ce063b-Abstract.html},
  researchr = {https://researchr.org/publication/ParkAKP21},
  cites = {0},
  citedby = {0},
  pages = {3043-3056},
  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},
}