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Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps
  on Neighborhood Graphs

Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs

14 November 2021
Alden Green
Sivaraman Balakrishnan
R. Tibshirani
ArXivPDFHTML

Papers citing "Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs"

4 / 4 papers shown
Title
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
31
0
0
26 Oct 2024
Rates of Convergence for Regression with the Graph Poly-Laplacian
Rates of Convergence for Regression with the Graph Poly-Laplacian
Nicolas García Trillos
Ryan W. Murray
Matthew Thorpe
32
4
0
06 Sep 2022
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold
  heat interpolation
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
Xiuyuan Cheng
Nan Wu
63
29
0
25 Jan 2021
A Spectral Series Approach to High-Dimensional Nonparametric Regression
A Spectral Series Approach to High-Dimensional Nonparametric Regression
Ann B. Lee
Rafael Izbicki
BDL
AI4TS
114
37
0
01 Feb 2016
1