MARGIN is an online per-agent per-band calibration method using symmetric exponentially weighted moving averages with Bayesian shrinkage that reduces calibration error 3-6x under distribution shift and improves multi-agent selection.
Cooper, and Milos Hauskrecht
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MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination
MARGIN is an online per-agent per-band calibration method using symmetric exponentially weighted moving averages with Bayesian shrinkage that reduces calibration error 3-6x under distribution shift and improves multi-agent selection.