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

3 June 2021

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

13 / 13 papers shown

Title
Joint estimation of smooth graph signals from partial linear measurements Hemant Tyagi 37 0 0 29 May 2025
Understanding the Effect of GCN Convolutions in Regression Tasks Juntong Chen Johannes Schmidt-Hieber Claire Donnat Olga Klopp GNN 119 0 0 26 Oct 2024
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric Alden Green Sivaraman Balakrishnan Robert Tibshirani 47 1 0 24 Sep 2024
Nonparametric regression on random geometric graphs sampled from submanifolds Paul Rosa Judith Rousseau 126 1 0 31 May 2024
Estimating a Function and Its Derivatives Under a Smoothness Condition Eunji Lim 26 1 0 16 May 2024
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps Zhaoyang Shi Krishnakumar Balasubramanian W. Polonik 81 1 0 22 Feb 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression Zhaoyang Shi Krishnakumar Balasubramanian W. Polonik 62 2 0 31 Oct 2023
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure Zeyu Wei Yen-Chi Chen 53 0 0 19 Mar 2023
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data Addison J. Hu Alden Green Robert Tibshirani 79 4 0 30 Dec 2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty Shiyuan He Hanxuan Ye Kejun He 43 1 0 09 Nov 2022
Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs Alden Green Sivaraman Balakrishnan Robert Tibshirani 112 12 0 14 Nov 2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties Iain Carmichael T. Keefe Naomi Giertych Jonathan P. Williams 58 1 0 11 Oct 2021
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates Jeff Calder D. Slepčev Matthew Thorpe 59 28 0 04 Jun 2020