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Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
We show that the finite sample risk of these LSEs is always bounded from above by $n^{-2/3}$ modulo logarithmic factors depending on $d$; thus these nonparametric LSEs avoid the curse of dimensionality to some extent.
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