| Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015 | 80 | 2015 |
| On the hardness of domain adaptation and the utility of unlabeled target samples S Ben-David, R Urner International Conference on Algorithmic Learning Theory, 139-153, 2012 | 76 | 2012 |
| Domain adaptation–can quantity compensate for quality? S Ben-David, R Urner Annals of Mathematics and Artificial Intelligence 70 (3), 185-202, 2014 | 62 | 2014 |
| Plal: Cluster-based active learning R Urner, S Wulff, S Ben-David Conference on Learning Theory, 376-397, 2013 | 51 | 2013 |
| Access to unlabeled data can speed up prediction time R Urner, S Shalev-Shwartz, S Ben-David ICML, 2011 | 48 | 2011 |
| Learning from weak teachers R Urner, SB David, O Shamir Artificial intelligence and statistics, 1252-1260, 2012 | 37 | 2012 |
| Active nearest neighbors in changing environments C Berlind, R Urner International conference on machine learning, 1870-1879, 2015 | 34 | 2015 |
| Learning economic parameters from revealed preferences MF Balcan, A Daniely, R Mehta, R Urner, VV Vazirani International Conference on Web and Internet Economics, 338-353, 2014 | 34 | 2014 |
| Active nearest-neighbor learning in metric spaces A Kontorovich, S Sabato, R Urner Advances in Neural Information Processing Systems 29, 2016 | 25 | 2016 |
| Lifelong learning with weighted majority votes A Pentina, R Urner Advances in Neural Information Processing Systems 29, 2016 | 24 | 2016 |
| Probabilistic lipschitzness a niceness assumption for deterministic labels R Urner, S Ben-David Learning Faster from Easy Data-Workshop@ NIPS 2, 1, 2013 | 24 | 2013 |
| Active Learning-Modern Learning Theory. MF Balcan, R Urner Encyclopedia of algorithms, 8-13, 2016 | 22 | 2016 |
| Domain adaptation as learning with auxiliary information S Ben-David, R Urner New directions in transfer and multi-task-workshop@ NIPS, 2013 | 18 | 2013 |
| Naïve security in a Wi-Fi world C Swanson, R Urner, E Lank IFIP International Conference on Trust Management, 32-47, 2010 | 18 | 2010 |
| When can unlabeled data improve the learning rate? C Göpfert, S Ben-David, O Bousquet, S Gelly, I Tolstikhin, R Urner Conference on Learning Theory, 1500-1518, 2019 | 15 | 2019 |
| Hierarchical label queries with data-dependent partitions S Kpotufe, R Urner, S Ben-David Conference on Learning Theory, 1176-1189, 2015 | 14 | 2015 |
| Generative multiple-instance learning models for quantitative electromyography T Adel, B Smith, R Urner, D Stashuk, DJ Lizotte arXiv preprint arXiv:1309.6811, 2013 | 12 | 2013 |
| Monochromatic bi-clustering S Wulff, R Urner, S Ben-David International Conference on Machine Learning, 145-153, 2013 | 12 | 2013 |
| On a disparity between relative cliquewidth and relative NLC-width H Müller, R Urner Discrete Applied Mathematics 158 (7), 828-840, 2010 | 12 | 2010 |
| Universal learning vs. no free lunch results S Ben-David, N Srebro, R Urner Philosophy and Machine Learning Workshop NIPS, 2011 | 11 | 2011 |
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
