| Efficient learning of linear separators under bounded noise P Awasthi, MF Balcan, N Haghtalab, R Urner Conference on Learning Theory, 167-190, 2015 | 119 | 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 | 108 | 2012 |
| Domain adaptation–can quantity compensate for quality? S Ben-David, R Urner Annals of Mathematics and Artificial Intelligence 70 (3), 185-202, 2014 | 89 | 2014 |
| 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 | 78 | 2011 |
| Plal: Cluster-based active learning R Urner, S Wulff, S Ben-David Conference on learning theory, 376-397, 2013 | 70 | 2013 |
| 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 | 59 | 2014 |
| Active nearest neighbors in changing environments C Berlind, R Urner International conference on machine learning, 1870-1879, 2015 | 47 | 2015 |
| Learning from weak teachers R Urner, SB David, O Shamir Artificial intelligence and statistics, 1252-1260, 2012 | 46 | 2012 |
| Lifelong learning with weighted majority votes A Pentina, R Urner Advances in Neural Information Processing Systems 29, 2016 | 44 | 2016 |
| Machine learning based data driven inkjet printed electronics: jetting prediction for novel inks FP Brishty, R Urner, G Grau Flexible and Printed Electronics 7 (1), 015009, 2022 | 43 | 2022 |
| On learnability wih computable learners S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner Algorithmic Learning Theory, 48-60, 2020 | 39 | 2020 |
| Probabilistic lipschitzness a niceness assumption for deterministic labels R Urner, S Ben-David Learning Faster from Easy Data-Workshop@ NIPS 2, 1, 2013 | 38 | 2013 |
| Active nearest-neighbor learning in metric spaces A Kontorovich, S Sabato, R Urner Journal of Machine Learning Research 18 (195), 1-38, 2018 | 37 | 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 | 35 | 2019 |
| Active learning MF Balcan, R Urner Encyclopedia of algorithms, 1-6, 2014 | 34 | 2014 |
| Learning losses for strategic classification T Lechner, R Urner Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7337-7344, 2022 | 28 | 2022 |
| Black-box certification and learning under adversarial perturbations H Ashtiani, V Pathak, R Urner International Conference on Machine Learning, 388-398, 2020 | 27 | 2020 |
| Strategic classification with unknown user manipulations T Lechner, R Urner, S Ben-David International Conference on Machine Learning, 18714-18732, 2023 | 26 | 2023 |
| Naïve security in a Wi-Fi world C Swanson, R Urner, E Lank IFIP International Conference on Trust Management, 32-47, 2010 | 21 | 2010 |
| Hierarchical label queries with data-dependent partitions S Kpotufe, R Urner, S Ben-David Conference on Learning Theory, 1176-1189, 2015 | 20 | 2015 |
Shai Ben-DavidUniverity of Waterloo, CanadaVerified email at uwaterloo.ca
