Tomer Koren
Tomer Koren
School of Computer Science, Tel Aviv University
Verified email at tauex.tau.ac.il - Homepage
Title
Cited by
Cited by
Year
Almost Optimal Exploration in Multi-Armed Bandits
ZS Karnin, T Koren, O Somekh
ICML (3) 28, 1238-1246, 2013
2832013
Online learning with feedback graphs: Beyond bandits
N Alon, N Cesa-Bianchi, O Dekel, T Koren
Conference on Learning Theory, 23-35, 2015
1002015
Bandits with switching costs: T^{2/3} regret
O Dekel, J Ding, T Koren, Y Peres
Proceedings of the 46th Annual ACM Symposium on Theory of Computing, 459-467, 2014
702014
Better algorithms for stochastic bandits with adversarial corruptions
A Gupta, T Koren, K Talwar
Conference on Learning Theory, 1562-1578, 2019
682019
Learning Linear-Quadratic Regulators Efficiently with only $\sqrtT $ Regret
A Cohen, T Koren, Y Mansour
International Conference on Machine Learning, 1300-1309, 2019
682019
Online linear quadratic control
A Cohen, A Hasidim, T Koren, N Lazic, Y Mansour, K Talwar
International Conference on Machine Learning, 1029-1038, 2018
642018
Distributed exploration in multi-armed bandits
E Hillel, Z Karnin, T Koren, R Lempel, O Somekh
arXiv preprint arXiv:1311.0800, 2013
602013
Oracle-based robust optimization via online learning
A Ben-Tal, E Hazan, T Koren, S Mannor
Operations Research 63 (3), 628-638, 2015
592015
A linear-time algorithm for trust region problems
E Hazan, T Koren
Mathematical Programming 158 (1), 363-381, 2016
552016
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
522016
Bandit convex optimization:√T regret in one dimension
S Bubeck, O Dekel, T Koren, Y Peres
Proceedings of the 28st Annual Conference on Learning Theory (COLT 2015), 2015
49*2015
Beating SGD: Learning SVMs in sublinear time
E Hazan, T Koren, N Srebro
Advances in Neural Information Processing Systems, 1233-1241, 2011
492011
Robust bi-tempered logistic loss based on bregman divergences
E Amid, MK Warmuth, R Anil, T Koren
arXiv preprint arXiv:1906.03361, 2019
462019
Logistic regression: Tight bounds for stochastic and online optimization
E Hazan, T Koren, KY Levy
Conference on Learning Theory, 197-209, 2014
442014
Linear regression with limited observation
E Hazan, T Koren
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012
44*2012
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
432020
Shampoo: Preconditioned stochastic tensor optimization
V Gupta, T Koren, Y Singer
International Conference on Machine Learning, 1842-1850, 2018
422018
Semi-cyclic stochastic gradient descent
H Eichner, T Koren, B McMahan, N Srebro, K Talwar
International Conference on Machine Learning, 1764-1773, 2019
412019
The computational power of optimization in online learning
E Hazan, T Koren
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
362016
Fast Rates for Exp-concave Empirical Risk Minimization.
T Koren, KY Levy
NIPS, 1477-1485, 2015
342015
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