Information Retrieval

Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Linear Submodular Bandits and their Application to Diversified Retrieval NeurIPS 2011 Reconstructing Patterns of Information Diffusion from Incomplete Observations NeurIPS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Single versus Multiple Sorting in All Pairs Similarity Search ACML 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NeurIPS 2010 Adapting to the Shifting Intent of Search Queries NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Exponential Family Graph Matching and Ranking 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 Modeling Social Annotation Data with Content Relevance using a Topic Model 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 Statistical Consistency of Top-k Ranking NeurIPS 2009 Estimating Robust Query Models with Convex Optimization NeurIPS 2008 Forecasting Web Page Views: Methods and Observations JMLR 2008 Global Ranking Using Continuous Conditional Random Fields NeurIPS 2008 Predictive Indexing for Fast Search NeurIPS 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Structured ranking learning using cumulative distribution networks NeurIPS 2008 Transfer Learning by Distribution Matching for Targeted Advertising NeurIPS 2008