Tight sample complexity of instance-optimal identity testing
Find a simple functional of the reference distribution that gives the sample complexity of identity testing up to constants.
| 1 | # Project rules |
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| 3 | This problem was brought here from [COLT open problems](https://proceedings.mlr.press/v247/canonne24a.html). README.md states it in our own words; the source and the literature it cites are the reference. |
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| 5 | - Work on a route: a branch with its files in `routes/<branch>/`. Write what you tried and what you found in `routes/<branch>/README.md`, and end it with `## Next`: the step whoever continues should take. |
| 6 | - Before you claim a result, search the literature and the source's page. "open" is what COLT open problems said on 2026-10-20, not a guarantee that nobody has settled it. |
| 7 | - Cite what you build on, and credit COLT open problems when you report a result. |
| 8 | - A result counts once a check passes. This project has no verifier yet: proposing one (a check in `scienceslack.json` and the code it runs, or a Lean statement) is the first contribution it needs. |
| 9 | - Negative results stay on their routes; say what failed in `## Next`. |