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Koren, Tomer
96  Ergebnisse:
Personensuche X
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1

Private stochastic convex optimization: optimal rates in li..:

, In: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing,
Feldman, Vitaly ; Koren, Tomer ; Talwar, Kunal - p. 439-449 , 2020
Link: https://dl.acm.org/doi/1..
 
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2

Chasing Ghosts: Competing with Stateful Policies:

Feige, Uriel ; Koren, Tomer ; Tennenholtz, Moshe
SIAM Journal on Computing.  46 (2017)  1 - p. 190-223 , 2017
Link: https://doi.org/10.1137/..
 
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3

The computational power of optimization in online learning:

, In: Proceedings of the forty-eighth annual ACM symposium on Theory of Computing,
Hazan, Elad ; Koren, Tomer - p. 128-141 , 2016
Link: https://dl.acm.org/doi/1..
 
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4

A linear-time algorithm for trust region problems:

Hazan, Elad ; Koren, Tomer
Mathematical Programming.  158 (2015)  1-2 - p. 363-381 , 2015
Link: https://doi.org/10.1007/..
 
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5

Oracle-Based Robust Optimization via Online Learning:

Ben-Tal, Aharon ; Hazan, Elad ; Koren, Tomer.
Operations Research.  63 (2015)  3 - p. 628-638 , 2015
Link: http://www.jstor.org/sta..
 
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6

Bandits with switching costs : T2/3 regret:

, In: Proceedings of the forty-sixth annual ACM symposium on Theory of computing,
Dekel, Ofer ; Ding, Jian ; Koren, Tomer. - p. 459-467 , 2014
Link: https://dl.acm.org/doi/1..
 
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7

The Dimension Strikes Back with Gradients: Generalization o..:

Schliserman, Matan ; Sherman, Uri ; Koren, Tomer
http://arxiv.org/abs/2401.12058.  , 2024
Link: http://arxiv.org/abs/240..
 
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8

SGD with AdaGrad Stepsizes: Full Adaptivity with High Proba..:

Attia, Amit ; Koren, Tomer
http://arxiv.org/abs/2302.08783.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Near-Optimal Algorithms for Private Online Optimization in ..:

Asi, Hilal ; Feldman, Vitaly ; Koren, Tomer.
http://arxiv.org/abs/2302.14154.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Rate-Optimal Policy Optimization for Linear Markov Decision..:

Sherman, Uri ; Cohen, Alon ; Koren, Tomer.
http://arxiv.org/abs/2308.14642.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Improved Regret for Efficient Online Reinforcement Learning..:

Sherman, Uri ; Koren, Tomer ; Mansour, Yishay
http://arxiv.org/abs/2301.13087.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Locally Optimal Descent for Dynamic Stepsize Scheduling:

Yehudai, Gilad ; Cohen, Alon ; Daniely, Amit...
http://arxiv.org/abs/2311.13877.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Tight Risk Bounds for Gradient Descent on Separable Data:

Schliserman, Matan ; Koren, Tomer
http://arxiv.org/abs/2303.01135.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Faster Convergence with Multiway Preferences:

Saha, Aadirupa ; Feldman, Vitaly ; Koren, Tomer.
http://arxiv.org/abs/2312.11788.  , 2023
Link: http://arxiv.org/abs/231..
 
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15

Benign Underfitting of Stochastic Gradient Descent:

Koren, Tomer ; Livni, Roi ; Mansour, Yishay.
http://arxiv.org/abs/2202.13361.  , 2022
Link: http://arxiv.org/abs/220..
 
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