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Arxiv
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A parametric algorithm is optimal for non-parametric regression of smooth functions
- A parametric algorithm called PADUA is introduced for the regression problem of smooth functions.
- PADUA aims to achieve a uniform error bound across the entire domain.
- It provides performance guarantees optimal up to constant or logarithmic factors.
- PADUA has optimal sample and space complexity, as demonstrated through numerical experiments.
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