Rate-optimal graphon estimation

21 October 2014

Papers citing "Rate-optimal graphon estimation"

36 / 36 papers shown

Title
Low-Rank Graphon Estimation: Theory and Applications to Graphon Games Olga Klopp Fedor Noskov 39 0 0 12 Mar 2025
Network two-sample test for block models Chung Kyong Nguen Oscar Hernan Madrid Padilla Arash A. Amini 32 0 0 10 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 38 1 0 05 Jun 2024
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments Meijia Shao Dong Xia Yuan Zhang 34 2 0 06 Jun 2023
Statistical and computational rates in high rank tensor estimation Chanwoo Lee Miaoyan Wang 33 1 0 08 Apr 2023
Joint Network Topology Inference via a Shared Graphon Model Madeline Navarro Santiago Segarra 52 10 0 17 Sep 2022
Uniform Inference for Kernel Density Estimators with Dyadic Data M. D. Cattaneo Yingjie Feng W. Underwood 21 7 0 16 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
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons Krishnakumar Balasubramanian 22 12 0 18 May 2021
Modularity maximisation for graphons F. Klimm N. Jones Michael T. Schaub 23 1 0 02 Jan 2021
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
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation C. Borgs J. Chayes Adam D. Smith Ilias Zadik FedML 29 46 0 04 Oct 2018
Unseeded low-rank graph matching by transform-based unsupervised point registration Yuan Zhang 21 6 0 12 Jul 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 18 13 0 25 Jun 2018
Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces Jing Lei 6 119 0 27 Apr 2018
Network Representation Using Graph Root Distributions Jing Lei 51 31 0 27 Feb 2018
Centrality measures for graphons: Accounting for uncertainty in networks Marco Avella-Medina F. Parise Michael T. Schaub Santiago Segarra 39 77 0 28 Jul 2017
Structured Matrix Estimation and Completion Olga Klopp Yu Lu Alexandre B. Tsybakov Harrison H. Zhou 37 20 0 07 Jul 2017
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
Spectral clustering in the dynamic stochastic block model Marianna Pensky Teng Zhang 35 75 0 02 May 2017
Optimal graphon estimation in cut distance Olga Klopp Nicolas Verzélen 23 29 0 15 Mar 2017
Consistent structure estimation of exponential-family random graph models with block structure M. Schweinberger 49 15 0 24 Feb 2017
Sampling and Estimation for (Sparse) Exchangeable Graphs Victor Veitch Daniel M. Roy 20 49 0 02 Nov 2016
Optimal Rates of Statistical Seriation Nicolas Flammarion Cheng Mao Philippe Rigollet 29 59 0 08 Jul 2016
Optimal Estimation and Completion of Matrices with Biclustering Structures Chao Gao Yu Lu Zongming Ma Harrison H. Zhou 21 63 0 01 Dec 2015
Consistent nonparametric estimation for heavy-tailed sparse graphs C. Borgs J. Chayes Henry Cohn S. Ganguly 31 25 0 26 Aug 2015
Oracle inequalities for network models and sparse graphon estimation Olga Klopp Alexandre B. Tsybakov Nicolas Verzelen MODAL'X 35 134 0 15 Jul 2015
Private Graphon Estimation for Sparse Graphs C. Borgs J. Chayes Adam D. Smith 92 87 0 19 Jun 2015
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel Subhadeep Paul Yuguo Chen 33 94 0 08 Jun 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 45 57 0 06 Jun 2015
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 30 7 0 26 May 2015
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 71 220 0 04 Jul 2012
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 131 976 0 29 Dec 2009