Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data | NSF Public Access Repository

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Citation Details

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

Award ID(s):: 2420577 2420691

PAR ID:: 10618184

Author(s) / Creator(s):: Hu, Kaiyuan; Zhu, Jiongli; Glavic, Boris; Salimi, Babak

Publisher / Repository:: ACM

Date Published:: 2025-06-22

ISBN:: 9798400715648

Page Range / eLocation ID:: 127 to 130

Format(s):: Medium: X

Location:: Berlin Germany

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Paper:
https://doi.org/10.1145/3722212.3725143