Applications

Collaborative Filtering on a Budget AISTATS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Deterministic Bayesian inference for the $p*$ model AISTATS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Hartigan’s Method: k-means Clustering without Voronoi AISTATS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Minimum Average Cost Clustering 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 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Single versus Multiple Sorting in All Pairs Similarity Search ACML 2010 Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range RSS 2010 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 Throttling Poisson Processes NeurIPS 2010 Towards Property-Based Classification of Clustering Paradigms NeurIPS 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NeurIPS 2010 Adapting to the Shifting Intent of Search Queries NeurIPS 2009