Author

Hyungrok Do

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#machine learning Preprint Oct 2026

Bayesian Learning to Select Fair Classifiers

This work studies the problem of selecting, in an online stream, the agent that best balances predictive performance and subgroup fairness of a sensitive attribute, and that allows for delayed observations of true class labels, as a Bayesian multi-armed bandit problem using Thompson Sampling.

Saatvik Kher, Hyungrok Do, Judy Zhong et al. · 0 citations