Negative Results for Active Learning with Convex Losses


Steve Hanneke, Liu Yang ;
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, PMLR 9:321-325, 2010.


We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no better than passive learning.

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