Likelihood Inference for Large Scale Stochastic Blockmodels with Covariates based on a Divide-and-Conquer Parallelizable Algorithm with Communication

30 October 2016

Papers citing "Likelihood Inference for Large Scale Stochastic Blockmodels with Covariates based on a Divide-and-Conquer Parallelizable Algorithm with Communication"

11 / 11 papers shown

Title
Goodness of fit of logistic models for random graphs Pierre Latouche Stephane S. Robin S. Ouadah 107 14 0 02 Aug 2015
Dyadic data analysis with amen P. Hoff 30 48 0 26 Jun 2015
Local case-control sampling: Efficient subsampling in imbalanced data sets William Fithian Trevor Hastie 55 110 0 16 Jun 2013
Pseudo-likelihood methods for community detection in large sparse networks Arash A. Amini Aiyou Chen Peter J. Bickel Elizaveta Levina 172 407 0 10 Jul 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 157 2,272 0 28 Jun 2011
Distributed Delayed Stochastic Optimization Alekh Agarwal John C. Duchi 121 626 0 28 Apr 2011
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 249 683 0 07 Dec 2010
Stochastic blockmodels with growing number of classes David S. Choi P. Wolfe E. Airoldi 177 259 0 21 Nov 2010
Spectral clustering and the high-dimensional stochastic blockmodel Karl Rohe S. Chatterjee Bin Yu 214 931 0 09 Jul 2010
Clustering Stability: An Overview U. V. Luxburg 122 285 0 07 Jul 2010
Mixed membership stochastic blockmodels E. Airoldi David M. Blei S. Fienberg Eric Xing 354 2,117 0 30 May 2007