Clustering

Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection ACML 2012 Reducing statistical time-series problems to binary classification NeurIPS 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012 Statistical Models for Exploring Individual Email Communication Behavior ACML 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 The Time-Marginalized Coalescent Prior for Hierarchical Clustering NeurIPS 2012 Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011 Adaptive Density Level Set Clustering COLT 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 Bayesian Hierarchical Cross-Clustering AISTATS 2011 Bayesian Partitioning of Large-Scale Distance Data NeurIPS 2011 Clustering Algorithms for Chains JMLR 2011 Confidence Sets for Network Structure NeurIPS 2011 Co-regularized Multi-view Spectral Clustering NeurIPS 2011 Crowdclustering NeurIPS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Fast and Accurate k-means For Large Datasets NeurIPS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 LPmade: Link Prediction Made Easy JMLR 2011