Generalization Error Analysis of Quantized Compressive Learning

Xiaoyun Li, Ping Li

Neural Information Processing Systems 

In this paper,we consider the learning problem where the projected data isfurther compressed byscalarquantization, which iscalled quantized compressivelearning. Generalization error bounds are derived for three models: nearest neighbor (NN) classifier, linear classifier and least squares regression.

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