Learning from Positive and Unlabeled Data with Arbitrary Positive Shift

Zayd Hammoudeh, Daniel Lowd. Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{HammoudehL20,
  title = {Learning from Positive and Unlabeled Data with Arbitrary Positive Shift},
  author = {Zayd Hammoudeh and Daniel Lowd},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/98b297950041a42470269d56260243a1-Abstract.html},
  researchr = {https://researchr.org/publication/HammoudehL20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}