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Mar 31, 2022 at 21:30 comment added Mikael de la Salle @J.G I would like to acknowledge your help in a paper that I am finishing to write. I can simply thank "MO user J.G", but if you agree to disclose your identity, I can thank you with your real-life identity. You can write me an email if you wish.
Jan 25, 2022 at 16:40 vote accept Mikael de la Salle
Jan 25, 2022 at 15:57 comment added Jason Gaitonde @MikaeldelaSalle just made it into an answer. Very glad to have helped!
Jan 25, 2022 at 15:57 answer added Jason Gaitonde timeline score: 7
Jan 24, 2022 at 22:22 comment added Mikael de la Salle @J.G you are correct, thanks a lot, this is precisely what I was looking for. If you make your comment into an answer, I will accept it.
Jan 24, 2022 at 19:54 comment added Jason Gaitonde I think what you're looking for is an $\epsilon$-biased space (where in your case, $\epsilon=1/2$) (i.e. the expectation of any nontrivial parity function with respect to the distribution is at most $\epsilon$ in absolute value). To my knowledge, the best current construction is by Ta-Shma (Theorem 1 of eccc.weizmann.ac.il/report/2017/041) and gives a set of size $O(N/\epsilon^{2+o(1)})$ which is near-optimal, so should be what you need. The references there might give earlier and simpler constructions giving $O(N)$ for $\epsilon = 1/2$ from better codes.
Jan 24, 2022 at 17:41 history edited Mikael de la Salle CC BY-SA 4.0
Fixed typo on the degree of polynomials
Jan 24, 2022 at 17:05 history edited Mikael de la Salle CC BY-SA 4.0
added 13 characters in body
Jan 24, 2022 at 16:47 history edited Mikael de la Salle CC BY-SA 4.0
Added details and a proof of my claim in Reed-Muller codes, as requested in the comments.
Jan 24, 2022 at 15:31 comment added kodlu What is the order of the Reed-Muller codes that you used for that estimate. Can you include details?
Jan 24, 2022 at 11:22 history edited Thomas Sauvaget CC BY-SA 4.0
Fixed a typo in Hoeffding
Jan 24, 2022 at 10:16 history edited Mikael de la Salle
changed tags
Jan 24, 2022 at 9:54 history asked Mikael de la Salle CC BY-SA 4.0