Abstract:We generalize the "indirect learning" technique of Furst et al. (1991) to reduce from learning a concept class over a samplable distribution µ to learning the same concept class over the uniform distribution. The reduction succeeds when the sampler for µ is both contained in the target concept class and efficiently invertible in the sense of Impagliazzo and Luby (1989). We give two applications.• We show that AC 0 [q] is learnable over any succinctly-described product distribution. AC 0 [q] is the class of con… Show more
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