| A support vector method for optimizing average precision Y Yue, T Finley, F Radlinski, T Joachims Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 746 | 2007 |
| Interactively optimizing information retrieval systems as a dueling bandits problem Y Yue, T Joachims Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 237 | 2009 |
| The k-armed dueling bandits problem Y Yue, J Broder, R Kleinberg, T Joachims Conference on Learning Theory (COLT), 2009 | 224 | 2009 |
| Multi-level structured models for document-level sentiment classification A Yessenalina, Y Yue, C Cardie Proceedings of the 2010 conference on empirical methods in natural language …, 2010 | 216 | 2010 |
| Predicting diverse subsets using structural SVMs Y Yue, T Joachims Proceedings of the 25th international conference on Machine learning, 1224-1231, 2008 | 189 | 2008 |
| Large Scale Validation and Analysis of Interleaved Search Evaluation O CHAPELLE, T JOACHIMS, F RADLINSKI, Y YUE ACM Transactions on Information Systems (TOIS) 30 (1), 6:1--6:41, 2012 | 165 | 2012 |
| Beyond position bias: Examining result attractiveness as a source of presentation bias in clickthrough data Y Yue, R Patel, H Roehrig Proceedings of the 19th international conference on World wide web, 1011-1018, 2010 | 141 | 2010 |
| A deep learning approach for generalized speech animation S Taylor, T Kim, Y Yue, M Mahler, J Krahe, AG Rodriguez, J Hodgins, ... ACM Transactions on Graphics (TOG) 36 (4), 1-11, 2017 | 131 | 2017 |
| Linear Submodular Bandits and its Application to Diversified Retrieval Y Yue, C Guestrin Proceedings of Neural Information Processing Systems (NeurIPS), 2011 | 131* | 2011 |
| Large-Scale Analysis of Soccer Matches using Spatiotemporal Tracking Data A Bialkowski, P Lucey, P Carr, Y Yue, S Sridharan, I Matthews IEEE International Conference on Data Mining (ICDM), 2014 | 121 | 2014 |
| Predicting structured objects with support vector machines T Joachims, T Hofmann, Y Yue, CN Yu Communications of the ACM 52 (11), 97-104, 2009 | 119 | 2009 |
| Beat the Mean Bandit Y Yue, T Joachims International Conference on Machine Learning (ICML), 2011 | 96 | 2011 |
| Coordinated Multi-Agent Imitation Learning HM Le, Y Yue, P Carr, P Lucey International Conference on Machine Learning (ICML), 2017 | 88 | 2017 |
| An efficient simulation-based approach to ambulance fleet allocation and dynamic redeployment Y Yue, L Marla, R Krishnan Twenty-sixth aaai conference on artificial intelligence, 2012 | 81 | 2012 |
| Long-term forecasting using higher order tensor-train rnns R Yu, S Zheng, A Anandkumar, Y Yue arXiv preprint arXiv:1711.00073, 2017 | 79* | 2017 |
| Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction Y Yue, P Lucey, P Carr, A Bialkowski, I Matthews IEEE International Conference on Data Mining (ICDM), 2014 | 75 | 2014 |
| “How to Get an Open Shot”: Analyzing Team Movement in Basketball using Tracking Data P Lucey, A Bialkowski, P Carr, Y Yue, I Matthews MIT Sloan Sports Analytics Conference, 2014 | 69 | 2014 |
| Hierarchical Imitation and Reinforcement Learning HM Le, N Jiang, A Agarwal, M Dudík, Y Yue, H Daumé III International Conference on Machine Learning (ICML), 2018 | 68 | 2018 |
| Identifying team style in soccer using formations learned from spatiotemporal tracking data A Bialkowski, P Lucey, P Carr, Y Yue, S Sridharan, I Matthews 2014 IEEE international conference on data mining workshop, 9-14, 2014 | 68 | 2014 |
| “Win at Home and Draw Away”: Automatic Formation Analysis Highlighting the Differences in Home and Away Team Behaviors A Bialkowski, P Lucey, P Carr, Y Yue, I Matthews MIT Sloan Sports Analytics Conference, 2014 | 68 | 2014 |
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
