| Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... IEEE Transactions on Big Data 1 (2), 49-67, 2015 | 417 | 2015 |
| Semantic pooling for complex event analysis in untrimmed videos X Chang, YL Yu, Y Yang, EP Xing IEEE transactions on pattern analysis and machine intelligence 39 (8), 1617-1632, 2016 | 272 | 2016 |
| Convex multi-view subspace learning M White, Y Yu, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 1682-1690, 2012 | 136 | 2012 |
| Accelerated training for matrix-norm regularization: A boosting approach X Zhang, Y Yu, D Schuurmans Advances in Neural Information Processing Systems, 2906-2914, 2012 | 107 | 2012 |
| Semantic concept discovery for large-scale zero-shot event detection X Chang, Y Yang, A Hauptmann, EP Xing, YL Yu Twenty-fourth international joint conference on artificial intelligence, 2015 | 89 | 2015 |
| Complex event detection using semantic saliency and nearly-isotonic SVM X Chang, Y Yang, EP Xing, YL Yu ICML, 2015 | 74 | 2015 |
| Analysis of kernel mean matching under covariate shift Y Yu, C Szepesvári ICML, 2012 | 72 | 2012 |
| On decomposing the proximal map YL Yu Advances in neural information processing systems 26, 91-99, 2013 | 67 | 2013 |
| Better approximation and faster algorithm using the proximal average YL Yu Advances in neural information processing systems 26, 458-466, 2013 | 61 | 2013 |
| Searching persuasively: Joint event detection and evidence recounting with limited supervision X Chang, YL Yu, Y Yang, AG Hauptmann Proceedings of the 23rd ACM international conference on Multimedia, 581-590, 2015 | 50 | 2015 |
| Relaxed clipping: A global training method for robust regression and classification Y Yu, M Yang, L Xu, M White, D Schuurmans Advances in neural information processing systems, 2532-2540, 2010 | 39 | 2010 |
| Sum-of-squares polynomial flow P Jaini, KA Selby, Y Yu arXiv preprint arXiv:1905.02325, 2019 | 37 | 2019 |
| Generalized conditional gradient for sparse estimation Y Yu, X Zhang, D Schuurmans The Journal of Machine Learning Research 18 (1), 5279-5324, 2017 | 37 | 2017 |
| Convex sparse coding, subspace learning, and semi-supervised extensions X Zhang, Y Yu, M White, R Huang, D Schuurmans Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011 | 36 | 2011 |
| Additive approximations in high dimensional nonparametric regression via the SALSA K Kandasamy, Y Yu International conference on machine learning, 69-78, 2016 | 34 | 2016 |
| Rank/norm regularization with closed-form solutions: Application to subspace clustering YL Yu, D Schuurmans arXiv preprint arXiv:1202.3772, 2012 | 34 | 2012 |
| A general projection property for distribution families YL Yu, Y Li, D Schuurmans, C Szepesvári Advances in Neural Information Processing Systems 22, 2232-2240, 2009 | 34 | 2009 |
| Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, EP Xing UAI, 2016 | 30* | 2016 |
| They are not equally reliable: Semantic event search using differentiated concept classifiers X Chang, YL Yu, Y Yang, EP Xing Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 27 | 2016 |
| Dropout with expectation-linear regularization X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy arXiv preprint arXiv:1609.08017, 2016 | 23 | 2016 |
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
