Feb 22, 2021 · In this work, we propose the local calibration error (LCE) to span the gap between average and individual reliability.
(1) We introduce a local calibration metric, the LCE, that is both easy to compute and can estimate the reliability of individual predictions. (2) We introduce ...
May 20, 2022 · The paper introduces a novel method to calibrate individual predictions (local calibration) of a a classifier using kernel methods. The ...
To calculate the LCE and apply LoRe, we used the final hidden layer representation learned by our model, applying t-SNE to reduce the dimension to 2 or PCA to ...
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[PDF] Local calibration: metrics and recalibration - Semantic Scholar
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This work proposes the local calibration error (LCE), a novel local recalibration method that can be estimated sample-efficiently from data, and empirically ...
Local calibration: metrics and recalibration | TransferLab
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Oct 5, 2022 · A calibration method that takes sample similarity into account, automatically providing group calibration even when groups are unknown.
Aug 18, 2022 · (1) We introduce a local calibration metric, the LCE, that is both easy to compute and can estimate the reliability of individual predictions. ( ...
Feb 22, 2021 · In this work, we propose the local calibration error (LCE), a fine-grained calibration metric that spans the gap between fully global and fully ...
源语言, 英语. 页（从-至）, 1286-1295. 页数, 10. 期刊, Proceedings of Machine Learning Research. 卷, 180. 出版状态, 已出版- 2022. 已对外发布, 是.
Oct 5, 2022 · Multicalibration guarantees meaningful (calibrated) predictions for every subpopulation that can be identified within a specified class of ...