Batch Active Learning via Coordinated Matching

@inproceedings{Azimi2012BatchAL,
  title={Batch Active Learning via Coordinated Matching},
  author={Javad Azimi and Alan Fern and Xiaoli Z. Fern and Glencora Borradaile and Brent Heeringa},
  booktitle={ICML},
  year={2012}
}
We propose a novel batch active learning method that leverages the availability of high-quality and efficient sequential active-learning policies by approximating their behavior when applied for k steps. Specifically, our algorithm uses MonteCarlo simulation to estimate the distribution of unlabeled examples selected by a sequential policy over k steps. The algorithm then selects k examples that best matches this distribution, leading to a combinatorial optimization problem that we term… CONTINUE READING
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