Orthogonal Causal Calibration

J Whitehouse, C Jung, V Syrgkanis, B Wilder… - arXiv preprint arXiv …, 2024 - arxiv.org
Estimates of causal parameters such as conditional average treatment effects and
conditional quantile treatment effects play an important role in real-world decision making …

[PDF][PDF] Post-hoc calibration without distributional assumptions

C Gupta - 2022 - kilthub.cmu.edu
Abstract Machine learning classifiers typically provide scores for the different classes. These
scores are supplementary to class predictions and may be crucial for downstream decision …