Clustering

Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 Minimax Localization of Structural Information in Large Noisy Matrices NeurIPS 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 On U-processes and clustering performance NeurIPS 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011 Sequential Event Prediction with Association Rules COLT 2011 Shaping Level Sets with Submodular Functions NeurIPS 2011 Spectral Clustering on a Budget AISTATS 2011 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Hartigan’s Method: k-means Clustering without Voronoi AISTATS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Minimum Average Cost Clustering NeurIPS 2010 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 Towards Property-Based Classification of Clustering Paradigms NeurIPS 2010 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009