SequentialBayesianExperimentalDesignwith VariableCostStructure

Neural Information Processing Systems 

While theoretically appealing, MIevaluation poses asignificant computational burden for most real world applications. As a result, many algorithms utilize MI bounds as proxies that lack regret-style guarantees. Here, we utilize two-sided bounds to provide such guarantees.

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