Robust Interactive Learning
@inproceedings{Balcan2012RobustIL, title={Robust Interactive Learning}, author={Maria-Florina Balcan and Steve Hanneke}, booktitle={COLT}, year={2012} }
In this paper we propose and study a generalization of the standard active-learning model where a more general type of query, class conditional query, is allowed. Such queries have been quite useful in applications, but have been lacking theoretical understanding. In this work, we characterize the power of such queries under two well-known noise models. We give nearly tight upper and lower bounds on the number of queries needed to learn both for the general agnostic setting and for the bounded… CONTINUE READING
40 Citations
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Active Classification with Comparison Queries
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