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Where does this paper prove the middle bullet point of its abstract?
I have looked through that paper fairly thoroughly.

There are three things I want to read how they're getting around.

  • Reductions from NP problems to SAT may have the effect
    of applying arbitrarily large polynomials to the input size.
  • Theorems 2 and 3 and 20 restrict the runtime of their learning algorithms.

  • Theorems 2 and 3 and 20 consider randomized algorithms.

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