| Online passive-aggressive algorithms. K Crammer, O Dekel, J Keshet, S Shalev-Shwartz, Y Singer, MK Warmuth Journal of Machine Learning Research 7 (3), 2006 | 2639 | 2006 |
| Optimal Distributed Online Prediction Using Mini-Batches. O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Journal of Machine Learning Research 13 (1), 2012 | 817 | 2012 |
| Adaptive neural networks for efficient inference T Bolukbasi, J Wang, O Dekel, V Saligrama International Conference on Machine Learning, 527-536, 2017 | 445 | 2017 |
| Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. A Agarwal, O Dekel, L Xiao Colt, 28-40, 2010 | 436 | 2010 |
| Large margin hierarchical classification O Dekel, J Keshet, Y Singer Proceedings of the twenty-first international conference on Machine learning, 27, 2004 | 331 | 2004 |
| Log-linear models for label ranking O Dekel, Y Singer, CD Manning Advances in neural information processing systems 16, 2003 | 241 | 2003 |
| The forgetron: A kernel-based perceptron on a budget O Dekel, S Shalev-Shwartz, Y Singer SIAM Journal on Computing 37 (5), 1342-1372, 2008 | 227 | 2008 |
| Online bandit learning against an adaptive adversary: from regret to policy regret R Arora, O Dekel, A Tewari arXiv preprint arXiv:1206.6400, 2012 | 223 | 2012 |
| Learning to classify with missing and corrupted features O Dekel, O Shamir Proceedings of the 25th international conference on Machine learning, 216-223, 2008 | 223 | 2008 |
| Incentive compatible regression learning O Dekel, F Fischer, AD Procaccia Journal of Computer and System Sciences 76 (8), 759-777, 2010 | 197 | 2010 |
| Vox Populi: Collecting High-Quality Labels from a Crowd. O Dekel, O Shamir COLT, 2009 | 180 | 2009 |
| Online learning with feedback graphs: Beyond bandits N Alon, N Cesa-Bianchi, O Dekel, T Koren Conference on Learning Theory, 23-35, 2015 | 178 | 2015 |
| The Forgetron: A kernel-based perceptron on a fixed budget O Dekel, S Shalev-Shwartz, Y Singer Advances in neural information processing systems 18, 2005 | 149 | 2005 |
| Online learning with switching costs and other adaptive adversaries N Cesa-Bianchi, O Dekel, O Shamir Advances in Neural Information Processing Systems 26, 2013 | 139 | 2013 |
| Selective sampling and active learning from single and multiple teachers O Dekel, C Gentile, K Sridharan The Journal of Machine Learning Research 13 (1), 2655-2697, 2012 | 121 | 2012 |
| Bandits with switching costs: T2/3 regret O Dekel, J Ding, T Koren, Y Peres Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014 | 118 | 2014 |
| Good learners for evil teachers O Dekel, O Shamir Proceedings of the 26th annual international conference on machine learning …, 2009 | 112 | 2009 |
| Multiclass-multilabel classification with more classes than examples O Dekel, O Shamir Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 96 | 2010 |
| An online algorithm for hierarchical phoneme classification O Dekel, J Keshet, Y Singer International workshop on machine learning for multimodal interaction, 146-158, 2004 | 77 | 2004 |
| Optimal distributed online prediction O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 68 | 2011 |
