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We consider the Bayesian active learning and experimental design problem, where the goal is to learn the value of some unknown target variable through a sequence of informative, noisy tests.
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Sequential information maximization: When is greedy near-optimal?
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Submodular surrogates for value of information
Chen, Yuxin, Javdani, Shervin, Karbasi, Amin, Bagnell, James Andrew, Srinivasa, Siddhartha, and Krause, Andreas
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