| Almost Optimal Exploration in Multi-Armed Bandits ZS Karnin, T Koren, O Somekh ICML (3) 28, 1238-1246, 2013 | 570 | 2013 |
| Learning Linear-Quadratic Regulators Efficiently with only Regret A Cohen, T Koren, Y Mansour International Conference on Machine Learning, 1300-1309, 2019 | 195 | 2019 |
| Private stochastic convex optimization: optimal rates in linear time V Feldman, T Koren, K Talwar Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020 | 186 | 2020 |
| Online learning with feedback graphs: Beyond bandits N Alon, N Cesa-Bianchi, O Dekel, T Koren Conference on Learning Theory, 23-35, 2015 | 176 | 2015 |
| Better algorithms for stochastic bandits with adversarial corruptions A Gupta, T Koren, K Talwar Conference on Learning Theory, 1562-1578, 2019 | 173 | 2019 |
| Shampoo: Preconditioned stochastic tensor optimization V Gupta, T Koren, Y Singer International Conference on Machine Learning, 1842-1850, 2018 | 173 | 2018 |
| Online Linear Quadratic Control A Cohen, A Hasidim, T Koren, N Lazic, Y Mansour, K Talwar International Conference on Machine Learning, 1029-1038, 2018 | 154 | 2018 |
| Robust bi-tempered logistic loss based on bregman divergences E Amid, MKK Warmuth, R Anil, T Koren Advances in Neural Information Processing Systems 32, 2019 | 136 | 2019 |
| Semi-cyclic stochastic gradient descent H Eichner, T Koren, B McMahan, N Srebro, K Talwar International Conference on Machine Learning, 1764-1773, 2019 | 123 | 2019 |
| Distributed exploration in multi-armed bandits E Hillel, ZS Karnin, T Koren, R Lempel, O Somekh Advances in Neural Information Processing Systems 26, 2013 | 113 | 2013 |
| Bandits with switching costs: regret O Dekel, J Ding, T Koren, Y Peres Proceedings of the 46th Annual ACM Symposium on Theory of Computing, 459-467, 2014 | 112 | 2014 |
| Scalable Second Order Optimization for Deep Learning R Anil, V Gupta, T Koren, K Regan, Y Singer arXiv preprint arXiv:2002.09018, 2020 | 109* | 2020 |
| Privacy odometers and filters: Pay-as-you-go composition RM Rogers, A Roth, J Ullman, S Vadhan Advances in Neural Information Processing Systems, 1921-1929, 2016 | 95 | 2016 |
| Oracle-based robust optimization via online learning A Ben-Tal, E Hazan, T Koren, S Mannor Operations Research 63 (3), 628-638, 2015 | 94 | 2015 |
| Private stochastic convex optimization: Optimal rates in l1 geometry H Asi, V Feldman, T Koren, K Talwar International Conference on Machine Learning, 393-403, 2021 | 90 | 2021 |
| Memory efficient adaptive optimization R Anil, V Gupta, T Koren, Y Singer Advances in Neural Information Processing Systems 32, 2019 | 86* | 2019 |
| Logistic regression: Tight bounds for stochastic and online optimization E Hazan, T Koren, KY Levy Conference on Learning Theory, 197-209, 2014 | 80 | 2014 |
| Logarithmic regret for learning linear quadratic regulators efficiently A Cassel, A Cohen, T Koren International Conference on Machine Learning, 1328-1337, 2020 | 75 | 2020 |
| Beating SGD: Learning SVMs in sublinear time E Hazan, T Koren, N Srebro Advances in Neural Information Processing Systems, 1233-1241, 2011 | 73 | 2011 |
| A linear-time algorithm for trust region problems E Hazan, T Koren Mathematical Programming 158 (1), 363-381, 2016 | 71 | 2016 |
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
