A Unifying Theory of Distance from Calibration

Author:

Błasiok Jarosław1,Gopalan Parikshit2,Hu Lunjia3,Nakkiran Preetum2

Affiliation:

1. Columbia University, USA

2. Apple, USA

3. Stanford University, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference50 articles.

1. Imanol Arrieta-Ibarra Paman Gujral Jonathan Tannen Mark Tygert and Cherie Xu. 2022. Metrics of calibration for probabilistic predictions. arXiv preprint arXiv:2205.09680. Imanol Arrieta-Ibarra Paman Gujral Jonathan Tannen Mark Tygert and Cherie Xu. 2022. Metrics of calibration for probabilistic predictions. arXiv preprint arXiv:2205.09680.

2. A. Berlinet and C. Thomas-Agnan. 2011. Reproducing Kernel Hilbert Spaces in Probability and Statistics. Springer US. isbn:9781441990969 lccn:2003064182 https://books.google.com/books?id=bX3TBwAAQBAJ A. Berlinet and C. Thomas-Agnan. 2011. Reproducing Kernel Hilbert Spaces in Probability and Statistics. Springer US. isbn:9781441990969 lccn:2003064182 https://books.google.com/books?id=bX3TBwAAQBAJ

3. Self-testing/correcting with applications to numerical problems

4. Glenn W Brier . 1950. Verification of forecasts expressed in terms of probability. Monthly weather review, 78, 1 ( 1950 ), 1–3. Glenn W Brier. 1950. Verification of forecasts expressed in terms of probability. Monthly weather review, 78, 1 (1950), 1–3.

5. Jarosław Błasiok Parikshit Gopalan Lunjia Hu and Preetum Nakkiran. 2022. A Unifying Theory of Distance from Calibration. arxiv:2211.16886. Jarosław Błasiok Parikshit Gopalan Lunjia Hu and Preetum Nakkiran. 2022. A Unifying Theory of Distance from Calibration. arxiv:2211.16886.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection and Mitigation of Algorithmic Bias via Predictive Parity;2023 ACM Conference on Fairness, Accountability, and Transparency;2023-06-12

2. A Unifying Theory of Distance from Calibration;Proceedings of the 55th Annual ACM Symposium on Theory of Computing;2023-06-02

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