network analysis

Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction AISTATS 2015 Learnability of Influence in Networks NeurIPS 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters NeurIPS 2015 The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels NeurIPS 2015 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 Axioms for Graph Clustering Quality Functions JMLR 2014 Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014 Community Detection via Random and Adaptive Sampling COLT 2014 Connected Sub-graph Detection AISTATS 2014 Hierarchical Quasi-Clustering Methods for Asymmetric Networks ICML 2014 Hitting and Commute Times in Large Random Neighborhood Graphs JMLR 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Nonparametric estimation and testing of exchangeable graph models AISTATS 2014 Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Face Recognition Using Face Patch Networks ICCV 2013 Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NeurIPS 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Stochastic blockmodeling of relational event dynamics AISTATS 2013 Unsupervised Link Selection in Networks AISTATS 2013