We show that in pool-based active classification without assumptions on the underlying distribution, if the learner is given the power to abstain from somepredictions by paying the price marginally smaller than the average loss $1/2$ of a random guess, exponential savings in the number of label requests are possible whenever they are possible in the corresponding realizable problem .

Author(s) : Nikita Puchkin, Nikita Zhivotovskiy

Links : PDF - Abstract

Code :

https://github.com/veitelser/LWL


Coursera

Keywords : savings - active - exponential - - average -

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