Data Science & Analytics

Locality-sensitive binary codes from shift-invariant kernels NeurIPS 2009 Matrix Completion from Noisy Entries NeurIPS 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank NeurIPS 2009 Scalable Collaborative Filtering Approaches for Large Recommender Systems JMLR 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 Streaming Pointwise Mutual Information NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 Time-Varying Dynamic Bayesian Networks NeurIPS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 Clustering via LP-based Stabilities NeurIPS 2008