A Chasm Between Identity and Equivalence Testing with Conditional Queries

@article{Acharya2014ACB,
  title={A Chasm Between Identity and Equivalence Testing with Conditional Queries},
  author={Jayadev Acharya and Cl{\'e}ment L. Canonne and Gautam Kamath},
  journal={Electronic Colloquium on Computational Complexity (ECCC)},
  year={2014},
  volume={21},
  pages={156}
}
  • Jayadev Acharya, Clément L. Canonne, Gautam Kamath
  • Published 2014
  • Mathematics, Computer Science
  • Electronic Colloquium on Computational Complexity (ECCC)
  • A recent model for property testing of probability distributions enables tremendous savings in the sample complexity of testing algorithms, by allowing them to condition the sampling on subsets of the domain. In particular, Canonne, Ron, and Servedio showed that, in this setting, testing identity of an unknown distribution D (i.e., whether D = D* for an explicitly known D*) can be done with a constant number of samples, independent of the support size n - in contrast to the required sqrt(n… CONTINUE READING

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