Generalization Error Analysis of Quantized Compressive Learning
–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.
Neural Information Processing Systems
Feb-11-2026, 14:46:39 GMT
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