Learning Adaptive Value of Information for Structured Prediction

@inproceedings{Weiss2013LearningAV,
  title={Learning Adaptive Value of Information for Structured Prediction},
  author={David J. Weiss and Ben Taskar},
  booktitle={NIPS},
  year={2013}
}
Discriminative methods for learning structured models have enabled wide-spread use of very rich feature representations. However, the computational cost of feature extraction is prohibitive for large-scale or time-sensitive applications, often dominating the cost of inference in the models. Significant efforts have been devoted to sparsity-based model selection to decrease this cost. Such feature selection methods control computation statically and miss the opportunity to finetune feature… CONTINUE READING
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