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Tomer Koren
Tomer Koren
Associate Professor at 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
5912013
Learning Linear-Quadratic Regulators Efficiently with only Regret
A Cohen, T Koren, Y Mansour
International Conference on Machine Learning, 1300-1309, 2019
2032019
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
1982020
Shampoo: Preconditioned stochastic tensor optimization
V Gupta, T Koren, Y Singer
International Conference on Machine Learning, 1842-1850, 2018
1972018
Better algorithms for stochastic bandits with adversarial corruptions
A Gupta, T Koren, K Talwar
Conference on Learning Theory, 1562-1578, 2019
1822019
Online learning with feedback graphs: Beyond bandits
N Alon, N Cesa-Bianchi, O Dekel, T Koren
Conference on Learning Theory, 23-35, 2015
1782015
Online Linear Quadratic Control
A Cohen, A Hasidim, T Koren, N Lazic, Y Mansour, K Talwar
International Conference on Machine Learning, 1029-1038, 2018
1582018
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
1422019
Semi-cyclic stochastic gradient descent
H Eichner, T Koren, B McMahan, N Srebro, K Talwar
International Conference on Machine Learning, 1764-1773, 2019
1272019
Scalable Second Order Optimization for Deep Learning
R Anil, V Gupta, T Koren, K Regan, Y Singer
arXiv preprint arXiv:2002.09018, 2020
119*2020
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
1182014
Distributed exploration in multi-armed bandits
E Hillel, ZS Karnin, T Koren, R Lempel, O Somekh
Advances in Neural Information Processing Systems 26, 2013
1182013
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
1012016
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
962021
Oracle-based robust optimization via online learning
A Ben-Tal, E Hazan, T Koren, S Mannor
Operations Research 63 (3), 628-638, 2015
962015
Memory efficient adaptive optimization
R Anil, V Gupta, T Koren, Y Singer
Advances in Neural Information Processing Systems 32, 2019
92*2019
Logistic regression: Tight bounds for stochastic and online optimization
E Hazan, T Koren, KY Levy
Conference on Learning Theory, 197-209, 2014
852014
Logarithmic regret for learning linear quadratic regulators efficiently
A Cassel, A Cohen, T Koren
International Conference on Machine Learning, 1328-1337, 2020
762020
Beating SGD: Learning SVMs in sublinear time
E Hazan, T Koren, N Srebro
Advances in Neural Information Processing Systems, 1233-1241, 2011
752011
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
722016
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