Selecting Observations against Adversarial Objectives

Krause, Andreas, Mcmahan, Brendan, Guestrin, Carlos, Gupta, Anupam

Neural Information Processing Systems 

In many applications, one has to actively select among a set of expensive observations beforemaking an informed decision. Often, we want to select observations which perform well when evaluated with an objective function chosen by an adversary.

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