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arXiv stat.ML · Papers

It does what it says on the tin: safe synthetic data from coarsened margins

arXiv:2606.02101v3 Announce Type: replace Abstract: This paper proposes a method of creating synthetic data (SD) that will have two important advantages for the user compared to other methods currently available. The first is transparency; unlike other methods, the person in receipt of the SD will know which of the rel