Papers citing 'Concentration and regularization of random graphs'

Title
Link prediction for egocentrically sampled networksJournal of Computational And Graphical Statistics (JCGS), 2018 Yun-Jhong Wu Elizaveta Levina Ji Zhu EgoV 109 15 0 12 Mar 2018
Network Representation Using Graph Root DistributionsAnnals of Statistics (Ann. Stat.), 2018 Jing Lei 156 31 0 27 Feb 2018
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 276 53 0 01 Feb 2018
Concentration of random graphs and application to community detection Can M. Le Elizaveta Levina Roman Vershynin 118 25 0 26 Jan 2018
Approximate Gradient Coding via Sparse Random Graphs Zachary B. Charles Dimitris Papailiopoulos J. Ellenberg 97 84 0 17 Nov 2017
Estimating a network from multiple noisy realizations Can M. Le Keith Levin Elizaveta Levina 148 38 0 13 Oct 2017
Statistical inference on random dot product graphs: a survey A. Athreya D. E. Fishkind Keith D. Levin V. Lyzinski Youngser Park Yichen Qin D. Sussman M. Tang Joshua T. Vogelstein Carey E. Priebe 237 265 0 16 Sep 2017
Revisiting Spectral Graph Clustering with Generative Community Models Pin-Yu Chen Lingfei Wu 214 12 0 14 Sep 2017
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs Debarghya Ghoshdastidar Maurilio Gutzeit Alexandra Carpentier U. V. Luxburg 184 60 0 04 Jul 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers Jacob Steinhardt Moses Charikar Gregory Valiant 259 143 0 15 Mar 2017
Network classification with applications to brain connectomicsAnnals of Applied Statistics (AOAS), 2017 Jesús D Arroyo Relión Daniel A Kessler Elizaveta Levina S. Taylor 121 77 0 27 Jan 2017
Four lectures on probabilistic methods for data scienceIAS/Park City Mathematics Series (PCMS), 2016 Roman Vershynin 154 26 0 20 Dec 2016
Network cross-validation by edge sampling Tianxi Li Elizaveta Levina Ji Zhu 184 176 0 14 Dec 2016
Learning from Untrusted Data Moses Charikar Jacob Steinhardt Gregory Valiant FedML OOD 249 311 0 07 Nov 2016
Message-passing algorithms for synchronization problems over compact groups Amelia Perry Alexander S. Wein Afonso S. Bandeira Ankur Moitra 179 87 0 14 Oct 2016
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization Pan Zhang 87 12 0 09 Sep 2016
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction Jacob Steinhardt Gregory Valiant Moses Charikar 130 45 0 16 Jun 2016
The Kato--Temple inequality and eigenvalue concentration with applications to graph inference Joshua Cape M. Tang Carey E. Priebe 164 7 0 19 Mar 2016
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements Keith D. Levin V. Lyzinski 147 17 0 12 Mar 2016
Recovering Structured Probability Matrices Qingqing Huang Sham Kakade Weihao Kong Gregory Valiant 321 12 0 21 Feb 2016
Semidefinite Programs for Exact Recovery of a Hidden Community Bruce Hajek Yihong Wu Jiaming Xu 242 33 0 20 Feb 2016
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models Yudong Chen Xiaodong Li Jiaming Xu 250 115 0 28 Dec 2015
Find Your Place: Simple Distributed Algorithms for Community Detection L. Becchetti A. Clementi Emanuele Natale F. Pasquale Luca Trevisan 218 31 0 12 Nov 2015
Estimating the number of communities in networks by spectral methods Can M. Le Elizaveta Levina 235 26 0 03 Jul 2015
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models Lennart Gulikers Marc Lelarge Laurent Massoulié 257 63 0 29 Jun 2015
Community detection in sparse networks via Grothendieck's inequalityProbability theory and related fields (PTRF), 2014 O. Guédon Roman Vershynin 368 215 0 17 Nov 2014