Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis

Cite

Text

Ghosh et al. "Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I6.25936

Markdown

[Ghosh et al. "Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/ghosh2023aaai-improving/) doi:10.1609/AAAI.V37I6.25936

BibTeX

@inproceedings{ghosh2023aaai-improving,
  title     = {{Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis}},
  author    = {Ghosh, Subhankar and Belkhouja, Taha and Yan, Yan and Doppa, Janardhan Rao},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {7722-7730},
  doi       = {10.1609/AAAI.V37I6.25936},
  url       = {https://mlanthology.org/aaai/2023/ghosh2023aaai-improving/}
}