A new method for safer statistical inference after predictions.
arXiv research
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Extends post-prediction inference method for more accurate AI/ML data analysis.
New method for valid inference from ML-predicted data.
ELSA efficiently adapts to label shift without post-prediction calibrations.
Novel framework for ML-assisted inference valid for any statistical task.
With continuous glucose monitoring (CGM), data-driven models on blood glucose prediction have been shown to be effective in related work. However, such (CGM) systems are not always available, e.g., for a patient at home. In this work, we conduct a study on 9 patients and examine the online predictability of data-driven…
Modular pipeline improves stock portfolio prediction robustness under regime changes.
Develops a fair relational model learning algorithm.