Data Science & Analytics

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks AISTATS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011 A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011 Bayesian Bias Mitigation for Crowdsourcing NeurIPS 2011 Bayesian Hierarchical Cross-Clustering AISTATS 2011 Bayesian Partitioning of Large-Scale Distance Data NeurIPS 2011 Clustering Algorithms for Chains JMLR 2011 Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011 Confidence Sets for Network Structure NeurIPS 2011 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Co-regularized Multi-view Spectral Clustering NeurIPS 2011 Crowdclustering NeurIPS 2011 Data Skeletonization via Reeb Graphs NeurIPS 2011 Divide-and-Conquer Matrix Factorization NeurIPS 2011 Dynamical segmentation of single trials from population neural data NeurIPS 2011 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Efficient Online Learning via Randomized Rounding NeurIPS 2011 Estimating Probabilities in Recommendation Systems AISTATS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Fast and Accurate k-means For Large Datasets NeurIPS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Group Anomaly Detection using Flexible Genre Models NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011