Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data

Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi. Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data. In Volker Markl, Joseph M. Hellerstein, Azza Abouzied, editors, Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025. pages 127-130, ACM, 2025. [doi]

@inproceedings{HuZGS25,
  title = {Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data},
  author = {Kaiyuan Hu and Jiongli Zhu and Boris Glavic and Babak Salimi},
  year = {2025},
  doi = {10.1145/3722212.3725143},
  url = {https://doi.org/10.1145/3722212.3725143},
  researchr = {https://researchr.org/publication/HuZGS25},
  cites = {0},
  citedby = {0},
  pages = {127-130},
  booktitle = {Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025},
  editor = {Volker Markl and Joseph M. Hellerstein and Azza Abouzied},
  publisher = {ACM},
  isbn = {979-8-4007-1564-8},
}