Data Mining

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events ICML 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 Orange: Data Mining Toolbox in Python JMLR 2013 QuantMiner for Mining Quantitative Association Rules JMLR 2013 Rapid Distance-Based Outlier Detection via Sampling NeurIPS 2013 Robust Bloom Filters for Large MultiLabel Classification Tasks NeurIPS 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 Shape Index Descriptors Applied to Texture-Based Galaxy Analysis ICCV 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Stochastic blockmodeling of relational event dynamics AISTATS 2013 Tree-Independent Dual-Tree Algorithms ICML 2013 Unsupervised Random Forest Manifold Alignment for Lipreading ICCV 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Factorized Diffusion Map Approximation AISTATS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012