ResearcharXivNEW
Optimal Deterministic Multicalibration and Omniprediction
Noarov 2026-06-18
Georgy NoarovAaron Roth
A model is multicalibrated on a collection of group weights $G$ if it is calibrated -- i.e. unbiased even conditional on its prediction -- not just overall, but also after reweighting contexts by each $g \in G$. It is a useful property for many downstream applications and is a basic desideratum of trustworthy machine learning. Before this work, all predictors known to attain the minimax-optimal $\
Read on arXivData aggregated and editorially reviewed by TrendMing.
Key Contributions
- A model is multicalibrated on a collection of group weights $G$ if it is calibrated -- i.e.
- unbiased even conditional on its prediction -- not just overall, but also after reweighting contexts by each $g \in G$.
- It is a useful property for many downstream applications and is a basic desideratum of trustworthy machine learning.
Research Themes
AIResearch