Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting

11 Mar 2016Lin ChenHamed HassaniAmin Karbasi

In this paper, we consider the problem of actively learning a linear classifier through query synthesis where the learner can construct artificial queries in order to estimate the true decision boundaries. This problem has recently gained a lot of interest in automated science and adversarial reverse engineering for which only heuristic algorithms are known... (read more)

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