@inproceedings{Kim2020,
 author = {Kim, Byol and Xu, Chen and Barber, Rina},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {4138--4149},
 publisher = {Curran Associates, Inc.},
 title = {Predictive inference is free with the jackknife+-after-bootstrap},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/2b346a0aa375a07f5a90a344a61416c4-Paper.pdf},
 volume = {33},
 year = {2020}
}

@inproceedings{
Angelopoulos2021,
title={Uncertainty Sets for Image Classifiers using Conformal Prediction},
author={Anastasios Nikolas Angelopoulos and Stephen Bates and Michael Jordan and Jitendra Malik},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=eNdiU_DbM9}
}

@inproceedings{Romano2020,
 author = {Romano, Yaniv and Sesia, Matteo and Candes, Emmanuel},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {3581--3591},
 publisher = {Curran Associates, Inc.},
 title = {Classification with Valid and Adaptive Coverage},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/244edd7e85dc81602b7615cd705545f5-Paper.pdf},
 volume = {33},
 year = {2020}
}

@article{Barber2021,
author = {Rina Foygel Barber and Emmanuel J. Cand{\`e}s and Aaditya Ramdas and Ryan J. Tibshirani},
title = {{Predictive inference with the jackknife+}},
volume = {49},
journal = {The Annals of Statistics},
number = {1},
publisher = {Institute of Mathematical Statistics},
pages = {486 -- 507},
keywords = {conformal inference, cross-validation, distribution-free, jackknife, leave-one-out, stability},
year = {2021},
doi = {10.1214/20-AOS1965},
URL = {https://doi.org/10.1214/20-AOS1965}
}
