| Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015 | 109 | 2015 |
| On the hardness of domain adaptation and the utility of unlabeled target samples S Ben-David, R Urner Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012 | 102 | 2012 |
| Domain adaptation–can quantity compensate for quality? S Ben-David, R Urner Annals of Mathematics and Artificial Intelligence 70, 185-202, 2014 | 83 | 2014 |
| Plal: Cluster-based active learning R Urner, S Wulff, S Ben-David Conference on learning theory, 376-397, 2013 | 65 | 2013 |
| Access to unlabeled data can speed up prediction time R Urner, S Shalev-Shwartz, S Ben-David Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 65 | 2011 |
| Learning economic parameters from revealed preferences MF Balcan, A Daniely, R Mehta, R Urner, VV Vazirani Web and Internet Economics: 10th International Conference, WINE 2014 …, 2014 | 53 | 2014 |
| Learning from weak teachers R Urner, SB David, O Shamir Artificial intelligence and statistics, 1252-1260, 2012 | 46 | 2012 |
| Active nearest neighbors in changing environments C Berlind, R Urner International conference on machine learning, 1870-1879, 2015 | 42 | 2015 |
| Lifelong learning with weighted majority votes A Pentina, R Urner Advances in Neural Information Processing Systems 29, 2016 | 41 | 2016 |
| Probabilistic lipschitzness a niceness assumption for deterministic labels R Urner, S Ben-David Learning Faster from Easy Data-Workshop@ NIPS 2, 1, 2013 | 36 | 2013 |
| Active nearest-neighbor learning in metric spaces A Kontorovich, S Sabato, R Urner Journal of Machine Learning Research 18 (195), 1-38, 2018 | 35 | 2018 |
| 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 | 30 | 2019 |
| On learnability wih computable learners S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner Algorithmic Learning Theory, 48-60, 2020 | 27 | 2020 |
| Active Learning-Modern Learning Theory. MF Balcan, R Urner Encyclopedia of algorithms, 8-13, 2016 | 26 | 2016 |
| Black-box certification and learning under adversarial perturbations H Ashtiani, V Pathak, R Urner International Conference on Machine Learning, 388-398, 2020 | 25 | 2020 |
| Learning losses for strategic classification T Lechner, R Urner Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7337-7344, 2022 | 20 | 2022 |
| Domain adaptation as learning with auxiliary information S Ben-David, R Urner New directions in transfer and multi-task-workshop@ NIPS, 2013 | 20 | 2013 |
| Hierarchical label queries with data-dependent partitions S Kpotufe, R Urner, S Ben-David Conference on Learning Theory, 1176-1189, 2015 | 19 | 2015 |
| Naïve security in a Wi-Fi world C Swanson, R Urner, E Lank Trust Management IV: 4th IFIP WG 11.11 International Conference, IFIPTM 2010 …, 2010 | 19 | 2010 |
| Strategic classification with unknown user manipulations T Lechner, R Urner, S Ben-David International Conference on Machine Learning, 18714-18732, 2023 | 13 | 2023 |
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
