Data Science & Analytics

Community Detection via Random and Adaptive Sampling COLT 2014 Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Controlling privacy in recommender systems NeurIPS 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Demystifying Information-Theoretic Clustering ICML 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Discrete Graph Hashing NeurIPS 2014 Distributed Balanced Clustering via Mapping Coresets NeurIPS 2014 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014 Ensembles for Time Series Forecasting ACML 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fast Computation of Wasserstein Barycenters ICML 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Gaussian Process Volatility Model NeurIPS 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014 Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Joint Inference of Multiple Label Types in Large Networks ICML 2014