Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data

Li, Ping, Church, Kenneth W., Hastie, Trevor J.

Neural Information Processing Systems 

In large-scale applications, the data are often highly sparse. CRS combines sketching and sampling in that it converts sketches of the data into conditional random samples online in the estimation stage, with the sample size determined retrospectively.

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