Corpus ID: 26909237

Compressive Statistical Learning with Random Feature Moments

@article{Gribonval2017CompressiveSL,
  title={Compressive Statistical Learning with Random Feature Moments},
  author={R. Gribonval and G. Blanchard and N. Keriven and Y. Traonmilin},
  journal={ArXiv},
  year={2017},
  volume={abs/1706.07180}
}

R. Gribonval, G. Blanchard, +1 author Y. Traonmilin

Published 2017

Mathematics, Computer Science

ArXiv

We describe a general framework --compressive statistical learning-- for resource-efficient large-scale learning: the training collection is compressed in one pass into a low-dimensional sketch (a vector of random empirical generalized moments) that captures the information relevant to the considered learning task. A near-minimizer of the risk is computed from the sketch through the solution of a nonlinear least squares problem. We investigate sufficient sketch sizes to control the… CONTINUE READING

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