Ranking

Iterative ranking from pair-wise comparisons NeurIPS 2012 Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 On Multilabel Classification and Ranking with Partial Feedback NeurIPS 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012 Probabilistic n-Choose-k Models for Classification and Ranking NeurIPS 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Supervised Learning with Similarity Functions NeurIPS 2012 Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NeurIPS 2011 Active Ranking using Pairwise Comparisons NeurIPS 2011 A Machine Learning Approach to Predict Chemical Reactions NeurIPS 2011 Learning Transformation Models for Ranking and Survival Analysis JMLR 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 Simultaneous Object Detection and Ranking with Weak Supervision NeurIPS 2010 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NeurIPS 2010 A Data-Driven Approach to Modeling Choice NeurIPS 2009 AUC optimization and the two-sample problem NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure 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 Riffled Independence for Ranked Data NeurIPS 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009