Applications

A Data-Driven Approach to Modeling Choice NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A General Projection Property for Distribution Families NeurIPS 2009 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009 Bayesian Nonparametric Models on Decomposable Graphs NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 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 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 Statistical Consistency of Top-k Ranking NeurIPS 2009