Plug-in Approach to Active Learning

Stanislav Minsker

Published 2011-04-07, updated 2011-11-02Version 2

We present a new active learning algorithm based on nonparametric estimators of the regression function. Our investigation provides probabilistic bounds for the rates of convergence of the generalization error achievable by proposed method over a broad class of underlying distributions. We also prove minimax lower bounds which show that the obtained rates are almost tight.