Tomer Koren

About Tomer Koren

Tomer Koren, With an exceptional h-index of 29 and a recent h-index of 27 (since 2020), a distinguished researcher at Tel Aviv University, specializes in the field of Machine Learning, Optimization, Reinforcement Learning and Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Faster Convergence with Multiway Preferences

A Note on High-Probability Analysis of Algorithms with Exponential, Sub-Gaussian, and General Light Tails

Tight risk bounds for gradient descent on separable data

How Free is Parameter-Free Stochastic Optimization?

The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization

Locally Optimal Descent for Dynamic Stepsize Scheduling

Optimal Rates for Convex Optimization with Multiway Preferences

Rate-optimal policy optimization for linear markov decision processes

Tomer Koren Information

University

Position

School of Computer Science

Citations(all)

3416

Citations(since 2020)

2927

Cited By

1405

hIndex(all)

29

hIndex(since 2020)

27

i10Index(all)

52

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Tomer Koren Skills & Research Interests

Machine Learning

Optimization

Reinforcement Learning and Control

Top articles of Tomer Koren

Faster Convergence with Multiway Preferences

2024/4/18

Tomer Koren
Tomer Koren

H-Index: 21

A Note on High-Probability Analysis of Algorithms with Exponential, Sub-Gaussian, and General Light Tails

arXiv preprint arXiv:2403.02873

2024/3/5

Amit Attia
Amit Attia

H-Index: 0

Tomer Koren
Tomer Koren

H-Index: 21

Tight risk bounds for gradient descent on separable data

Advances in Neural Information Processing Systems

2024/2/13

Tomer Koren
Tomer Koren

H-Index: 21

How Free is Parameter-Free Stochastic Optimization?

arXiv preprint arXiv:2402.03126

2024/2/5

Amit Attia
Amit Attia

H-Index: 0

Tomer Koren
Tomer Koren

H-Index: 21

The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization

arXiv preprint arXiv:2401.12058

2024/1/22

Tomer Koren
Tomer Koren

H-Index: 21

Locally Optimal Descent for Dynamic Stepsize Scheduling

arXiv preprint arXiv:2311.13877

2023/11/23

Optimal Rates for Convex Optimization with Multiway Preferences

2023/9/22

Tomer Koren
Tomer Koren

H-Index: 21

Rate-optimal policy optimization for linear markov decision processes

arXiv preprint arXiv:2308.14642

2023/8/28

Tomer Koren
Tomer Koren

H-Index: 21

Private online prediction from experts: Separations and faster rates

2023/7/12

Hilal Asi
Hilal Asi

H-Index: 3

Tomer Koren
Tomer Koren

H-Index: 21

Near-optimal algorithms for private online optimization in the realizable regime

2023/7/3

Hilal Asi
Hilal Asi

H-Index: 3

Tomer Koren
Tomer Koren

H-Index: 21

SGD with AdaGrad stepsizes: full adaptivity with high probability to unknown parameters, unbounded gradients and affine variance

2023/7/3

Amit Attia
Amit Attia

H-Index: 0

Tomer Koren
Tomer Koren

H-Index: 21

Improved regret for efficient online reinforcement learning with linear function approximation

2023/7/3

Tomer Koren
Tomer Koren

H-Index: 21

Regret minimization and convergence to equilibria in general-sum markov games

2023/7/3

Tomer Koren
Tomer Koren

H-Index: 21

Rate-optimal online convex optimization in adaptive linear control

Advances in Neural Information Processing Systems

2022/12/6

Tomer Koren
Tomer Koren

H-Index: 21

Better best of both worlds bounds for bandits with switching costs

Advances in neural information processing systems

2022/12/6

Benign underfitting of stochastic gradient descent

Advances in Neural Information Processing Systems

2022/12/6

Tomer Koren
Tomer Koren

H-Index: 21

Roi Livni
Roi Livni

H-Index: 13

Dueling convex optimization with general preferences

arXiv preprint arXiv:2210.02562

2022/9/27

Tomer Koren
Tomer Koren

H-Index: 21

Uniform stability for first-order empirical risk minimization

2022/6/28

Amit Attia
Amit Attia

H-Index: 0

Tomer Koren
Tomer Koren

H-Index: 21

Efficient online linear control with stochastic convex costs and unknown dynamics

2022/6/28

Tomer Koren
Tomer Koren

H-Index: 21

Stability vs implicit bias of gradient methods on separable data and beyond

2022/6/28

Tomer Koren
Tomer Koren

H-Index: 21

See List of Professors in Tomer Koren University(Tel Aviv University)

Co-Authors

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