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Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms

23 May 2018

Papers citing "Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms"

30 / 30 papers shown

Title
Graph Laplacian-based Bayesian Multi-fidelity Modeling Orazio Pinti Jeremy M. Budd Franca Hoffmann Assad A. Oberai 81 1 0 12 Sep 2024
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps Zhaoyang Shi Krishnakumar Balasubramanian W. Polonik 74 1 0 22 Feb 2024
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian Jeff Calder Nadejda Drenska 69 3 0 15 Jan 2024
Gaussian Process Regression under Computational and Epistemic Misspecification D. Sanz-Alonso Ruiyi Yang 47 1 0 14 Dec 2023
Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression Zhaoyang Shi Krishnakumar Balasubramanian W. Polonik 47 2 0 31 Oct 2023
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data Orazio Pinti Assad A. Oberai 48 0 0 29 Mar 2023
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels Adrien Weihs Matthew Thorpe 59 3 0 14 Mar 2023
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning Kevin Miller Jeff Calder 69 6 0 27 Oct 2022
Bayesian Learning via Q-Exponential Process Shuyi Li Michael O'Connor Shiwei Lan 145 2 0 14 Oct 2022
Rates of Convergence for Regression with the Graph Poly-Laplacian Nicolas García Trillos Ryan W. Murray Matthew Thorpe 83 5 0 06 Sep 2022
Models for information propagation on graphs Oliver R. A. Dunbar C. M. Elliott L. Kreusser 72 3 0 19 Jan 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
A-Optimal Active Learning Tue Boesen E. Haber 39 0 0 18 Oct 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 85 100 0 26 Jul 2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs Alden Green Sivaraman Balakrishnan Robert Tibshirani 71 16 0 03 Jun 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 154 207 0 26 Feb 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 127 21 0 18 Jan 2021
Graph Based Gaussian Processes on Restricted Domains David B. Dunson Hau‐Tieng Wu Nan Wu GP 56 25 0 14 Oct 2020
$A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition$ A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition Oliver M. Crook Mihai Cucuringu Tim Hurst Carola-Bibiane Schönlieb Matthew Thorpe K. Zygalakis 54 7 0 23 Sep 2020
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 61 31 0 13 Jul 2020
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates Jeff Calder D. Slepčev Matthew Thorpe 57 28 0 04 Jun 2020
From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds Nicolas García Trillos Ryan W. Murray Matthew Thorpe 43 11 0 20 Apr 2020
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs Jeff Calder Nicolas García Trillos 97 40 0 29 Oct 2019
Spectral Analysis Of Weighted Laplacians Arising In Data Clustering Franca Hoffmann Bamdad Hosseini Assad A. Oberai Andrew M. Stuart 36 24 0 13 Sep 2019
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods Franca Hoffmann Bamdad Hosseini Zhi Ren Andrew M. Stuart 37 23 0 18 Jun 2019
Geometric structure of graph Laplacian embeddings Nicolas García Trillos Franca Hoffmann Bamdad Hosseini 82 24 0 30 Jan 2019
A maximum principle argument for the uniform convergence of graph Laplacian regressors Nicolas García Trillos Ryan W. Murray 90 20 0 29 Jan 2019
Properly-weighted graph Laplacian for semi-supervised learning Jeff Calder D. Slepčev SSL 84 58 0 10 Oct 2018
Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors Bamdad Hosseini J. Johndrow 63 8 0 30 Sep 2018
Dimension-Robust MCMC in Bayesian Inverse Problems Victor Chen Matthew M. Dunlop O. Papaspiliopoulos Andrew M. Stuart 65 36 0 09 Mar 2018