A loss-driven Bayesian active learning framework derives unique acquisition objectives from arbitrary losses, with analytic solutions available when the loss is a weighted Bregman divergence.
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Loss-Driven Bayesian Active Learning
A loss-driven Bayesian active learning framework derives unique acquisition objectives from arbitrary losses, with analytic solutions available when the loss is a weighted Bregman divergence.