Data Science & Analytics

A Local Algorithm for Finding Well-Connected Clusters ICML 2013 A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013 Auditing: Active Learning with Outcome-Dependent Query Costs NeurIPS 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Binary Code Ranking with Weighted Hamming Distance CVPR 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Constrained fractional set programs and their application in local clustering and community detection ICML 2013 Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events ICML 2013 Deep content-based music recommendation NeurIPS 2013 Discovering Details and Scene Structure with Hierarchical Iconoid Shift ICCV 2013 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Distributed Exploration in Multi-Armed Bandits NeurIPS 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Dynamic Copula Networks for Modeling Real-valued Time Series AISTATS 2013 Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013 Efficient Higher-Order Clustering on the Grassmann Manifold ICCV 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Efficient Ranking from Pairwise Comparisons ICML 2013 Enhanced statistical rankings via targeted data collection ICML 2013