Rates of Convergence of Spectral Methods for Graphon Estimation

Rates of Convergence of Spectral Methods for Graphon Estimation

10 September 2017

Jiaming Xu

Papers citing "Rates of Convergence of Spectral Methods for Graphon Estimation"

15 / 15 papers shown

Title
Low-Rank Graphon Estimation: Theory and Applications to Graphon Games Olga Klopp Fedor Noskov 39 0 0 12 Mar 2025
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 37 1 0 03 Jan 2025
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 38 1 0 05 Jun 2024
Statistical and computational rates in high rank tensor estimation Chanwoo Lee Miaoyan Wang 33 1 0 08 Apr 2023
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 24 7 0 06 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 25 0 0 05 Jan 2022
Transferability Properties of Graph Neural Networks Luana Ruiz Luiz F. O. Chamon Alejandro Ribeiro GNN 27 41 0 09 Dec 2021
Nonparametric Matrix Estimation with One-Sided Covariates Chao Yu 26 3 0 26 Oct 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 48 28 0 10 Dec 2020
Manifold structure in graph embeddings Patrick Rubin-Delanchy 19 25 0 09 Jun 2020
Edgeworth expansions for network moments Yuan Zhang Dong Xia 32 25 0 14 Apr 2020
On Robustness of Principal Component Regression Anish Agarwal Devavrat Shah Dennis Shen Dogyoon Song 29 81 0 28 Feb 2019
Unseeded low-rank graph matching by transform-based unsupervised point registration Yuan Zhang 24 6 0 12 Jul 2018
Network Representation Using Graph Root Distributions Jing Lei 51 31 0 27 Feb 2018
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model Yihua Li Devavrat Shah Dogyoon Song Chao Yu 15 22 0 13 May 2017