Evaluation May Be Easier than Generation

  title={Evaluation May Be Easier than Generation},
  author={Moni Naor},
Kearns et al. 18] deened two notions for learning a distribution D. The rst is with generator, where the learner presents a generator that outputs a distribution identical or close to D. The other is with an evaluator, where the learner presents a procedure that on input x evaluates correctly (or approximates) the probability that x is generated by D. They showed an example where eecient learning by a generator is possible , but learning by an evaluator is computationally infeasible. Though it… CONTINUE READING


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