Active learning for misspecified generalized linear models

@inproceedings{Bach2006ActiveLF,
  title={Active learning for misspecified generalized linear models},
  author={Francis R. Bach},
  booktitle={NIPS},
  year={2006}
}
Active learning refers to algorithmic frameworks aimed at selecting training data points in order to reduce the number of required training data points and/or improve the generalization performance of a learning method. In this paper, we present an asymptotic analysis of active learning for generalized linear models. Our analysis holds under the common practical situation of model misspecification, and is based on realistic assumptions regarding the nature of the sampling distributions, which… CONTINUE READING

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