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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
6172013
Shampoo: Preconditioned stochastic tensor optimization
V Gupta, T Koren, Y Singer
International Conference on Machine Learning, 1842-1850, 2018
2352018
Learning Linear-Quadratic Regulators Efficiently with only Regret
A Cohen, T Koren, Y Mansour
International Conference on Machine Learning, 1300-1309, 2019
2172019
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
2162020
Better algorithms for stochastic bandits with adversarial corruptions
A Gupta, T Koren, K Talwar
Conference on Learning Theory, 1562-1578, 2019
1922019
Online learning with feedback graphs: Beyond bandits
N Alon, N Cesa-Bianchi, O Dekel, T Koren
Conference on Learning Theory, 23-35, 2015
1872015
Online Linear Quadratic Control
A Cohen, A Hasidim, T Koren, N Lazic, Y Mansour, K Talwar
International Conference on Machine Learning, 1029-1038, 2018
1642018
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
1462019
Scalable Second Order Optimization for Deep Learning
R Anil, V Gupta, T Koren, K Regan, Y Singer
arXiv preprint arXiv:2002.09018, 2020
138*2020
Semi-cyclic stochastic gradient descent
H Eichner, T Koren, B McMahan, N Srebro, K Talwar
International Conference on Machine Learning, 1764-1773, 2019
1302019
Distributed exploration in multi-armed bandits
E Hillel, ZS Karnin, T Koren, R Lempel, O Somekh
Advances in Neural Information Processing Systems 26, 2013
1242013
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
1222014
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
1142016
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
1112021
Memory efficient adaptive optimization
R Anil, V Gupta, T Koren, Y Singer
Advances in Neural Information Processing Systems 32, 2019
110*2019
Oracle-based robust optimization via online learning
A Ben-Tal, E Hazan, T Koren, S Mannor
Operations Research 63 (3), 628-638, 2015
1022015
Logistic regression: Tight bounds for stochastic and online optimization
E Hazan, T Koren, KY Levy
Conference on Learning Theory, 197-209, 2014
842014
Logarithmic regret for learning linear quadratic regulators efficiently
A Cassel, A Cohen, T Koren
International Conference on Machine Learning, 1328-1337, 2020
812020
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
772016
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
74*2015
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