Interactive Structure Learning with Structural Query-by-Committee

NeurIPS 2018 Christopher ToshSanjoy Dasgupta

In this work, we introduce interactive structure learning, a framework that unifies many different interactive learning tasks. We present a generalization of the query-by-committee active learning algorithm for this setting, and we study its consistency and rate of convergence, both theoretically and empirically, with and without noise...

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