Bayesian Learning to Select Fair Classifiers
Researchers use Thompson Sampling to pick classifiers that balance accuracy and subgroup fairness online.
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Researchers use Thompson Sampling to pick classifiers that balance accuracy and subgroup fairness online.
Selecting LLMs for strategic games is game- and opponent-specific; a stationary bandit beats more complex selectors but not the best fixed model.
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