Problem 87: Equivalence Testing with Conditional Samples
Revision as of 16:03, 8 November 2017 by Krzysztof Onak (talk | contribs) (Cleaning the header, small changes)
| Suggested by | Jayadev Acharya |
|---|---|
| Source | FOCS 2017 |
| Short link | https://sublinear.info/87 |
(This is a continuation of Problem 66 from the Bertinoro workshop Bertinoro Workshop on Sublinear Algorithms.)
For constant $\varepsilon>0$, it is known that the sample complexity of equivalence testing, in the conditional oracle model where the algorithm gets to condition the samples it receives on arbitrary subsets of the domain $[n]$, is $\Omega(\sqrt{\log\log n})$ and $O({\log\log n})$ [AcharyaCK-14,FalahatgarJOPS-15].
What is the exact dependence on the domain size of the sample complexity of equivalence testing in the conditional oracle model?
