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May 2, 2022 at 22:16 comment added Arnab This post is old, so I'm not sure if this comment gets noticed. I am currently trying to read your paper. I am wondering what happens when the dimension is also as large as number of points, say k > n? Should there not be a relation between $n$ and $k$ for this relation to be true? Else, if $n$ (and thus $k$) keeps growing, then the bound keeps getting tighter and tighter. That means - say 1000 samples in $R^{1000}$ yield a weaker bound than 2000 samples in $R^{2000}$. That means the number of samples keep dominating over the embedding dimension. Is that correct?
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Jul 13, 2021 at 21:17 history answered Michael Naaman CC BY-SA 4.0