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Wolfgang Polonik

2 accepted papers

2025

Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps

UAI 2025

We develop minimax optimal estimators for nonparametric regression methods when the true regression function lies in an $L_2$-fractional Sobolev space with order $s\in (0,1)$. This function class is a Hilbert space lying between the space of square-integrable functions and the first-order Sobolev sp

Cited by 0SourcePDFScholar
2024

Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression

AISTATS 2024poster

We show both adaptive and non-adaptive minimax rates of convergence for a family of weighted Laplacian-Eigenmap based nonparametric regression methods, when the true regression function belongs to a Sobolev space and the sampling density is bounded from above and below. The adaptation methodology is…

Cited by 0SourcePDFScholar