Ranking

Optimal Sample Complexity of M-wise Data for Top-K Ranking NeurIPS 2017 Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model EMNLP 2017 Understanding and Detecting Supporting Arguments of Diverse Types ACL 2017 Using Global Constraints and Reranking to Improve Cognates Detection ACL 2017 A ranking approach to global optimization ICML 2016 Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Online Learning to Rank with Feedback at the Top AISTATS 2016 Sketch Me That Shoe CVPR 2016 Spectral Ranking using Seriation JMLR 2016 Video2GIF: Automatic Generation of Animated GIFs From Video CVPR 2016 A Topic Modeling Approach to Ranking AISTATS 2015 Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NeurIPS 2015 Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons ICML 2015 Surrogate Functions for Maximizing Precision at the Top ICML 2015 A Learning-to-Rank Approach for Image Color Enhancement CVPR 2014 A Representation Theory for Ranking Functions NeurIPS 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Linear Ranking Analysis CVPR 2014