Data Science & Analytics

Gaussian Process Preference Elicitation NeurIPS 2010 Generative Models of Information Diffusion with Asynchronous Timedelay ACML 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010 Hartigan’s Method: k-means Clustering without Voronoi AISTATS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 Improving Human Judgments by Decontaminating Sequential Dependencies NeurIPS 2010 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Learning Networks of Stochastic Differential Equations NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 Minimum Average Cost Clustering NeurIPS 2010 Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 Multi-task Learning for Recommender System ACML 2010 Non-Stochastic Bandit Slate Problems NeurIPS 2010 On the Convexity of Latent Social Network Inference NeurIPS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 Sample Complexity of Testing the Manifold Hypothesis NeurIPS 2010 Single versus Multiple Sorting in All Pairs Similarity Search ACML 2010 State-Space Inference and Learning with Gaussian Processes AISTATS 2010