Learning from partial correction

23 May 2017 Sanjoy Dasgupta Michael Luby

We introduce a new model of interactive learning in which an expert examines the predictions of a learner and partially fixes them if they are wrong. Although this kind of feedback is not i.i.d., we show statistical generalization bounds on the quality of the learned model...

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