Tomer Koren

Tomer Koren

I'm a Senior Research Scientist at Google Research, Tel Aviv, and an Assistant Professor at the Blavatnik School of Computer Science at Tel Aviv University. My research interests are in machine learning and optimization.

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Authored Publications
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    Google
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
uri sherman
Tomer Koren
Yishay Mansour
ICML 2023 (2023)
Regret Minimization and Convergence to Equilibria in General-sum Markov Games
Liad Erez
tal lancewicki
uri sherman
Tomer Koren
Yishay Mansour
ICML 2023 (2023)
Benign Underfitting of SGD in Stochastic Convex Optimization
Roi Livni
Tomer Koren
uri sherman
Yishay Mansour
NeurIPS 2022
Dueling Convex Optimization
Aadirupa Saha
Tomer Koren
Yishay Mansour
ICML 2021 (2021) (to appear)
Optimal Rates for Random Order Online Optimization
Tomer Koren
uri sherman
Yishay Mansour
NeurIPS 2021 (2021) (to appear)
Stochastic Optimization with Arbitrary Delays
Alon Cohen
Amit Daniely
Mariano Schain
Tomer Koren
Yoel Drori
NeurIPS (2021)
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
Shahar Segal
tal lancewicki
Tomer Koren
Yishay Mansour
ICML 2021 (2021) (to appear)
Online Markov Decision Processes with Aggregate Bandit Feedback
Alon Cohen
Haim Kaplan
Tomer Koren
Yishay Mansour
Conference on Learning Theory (2021)
Adversarial Dueling Bandits
Aadirupa Saha
Tomer Koren
Yishay Mansour
ICML 2021 (2021) (to appear)
Stochastic Optimization with Laggard Data Pipelines
Cyril Zhang
Kunal Talwar
Naman Agarwal
Rohan Anil
Tomer Koren
Thirty-fourth Conference on Neural Information Processing Systems, 2020 (2020) (to appear)
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