Tomer Koren - RankMe

166 papers A* 62A 2B 1Misc 1Journal 90Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Statistical Learning from Attribution Sets. CoRR Lorne Applebaum, Róbert Busa-Fekete, August Y. Chen, Claudio Gentile, Tomer Koren, Aryan Mokhtari
2025	J	`jnl`	Bandit Multiclass List Classification. CoRR Liad Erez, Tomer Koren
2025	J	`jnl`	Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization. CoRR Amit Attia, Tomer Koren
2025	J	`jnl`	Better Rates for Random Task Orderings in Continual Linear Models. CoRR Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro
2025	J	`jnl`	Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2025	A*	`conf`	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. ICML Uri Sherman, Tomer Koren, Yishay Mansour
2025	J	`jnl`	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2025	A*	`conf`	Dueling Convex Optimization with General Preferences. ICML Aadirupa Saha, Tomer Koren, Yishay Mansour
2025	J	`jnl`	Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime. CoRR Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren
2025	A*	`conf`	Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching. ICML Amit Attia, Ofir Gaash, Tomer Koren
2025	J	`jnl`	Flat Minima and Generalization: Insights from Stochastic Convex Optimization. CoRR Matan Schliserman, Shira Vansover-Hager, Tomer Koren
2025	A	`conf`	Locally Optimal Descent for Dynamic Stepsize Scheduling. AISTATS Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2025	J	`jnl`	Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification. CoRR Matan Schliserman, Tomer Koren
2025	J	`jnl`	Multiplicative Reweighting for Robust Neural Network Optimization. SIAM J. Imaging Sci. Noga Bar, Tomer Koren, Raja Giryes
2025	A*	`conf`	Nearly Optimal Sample Complexity for Learning with Label Proportions. ICML Róbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer
2025	J	`jnl`	Nearly Optimal Sample Complexity for Learning with Label Proportions. CoRR Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer
2025	J	`jnl`	Optimal Learning from Label Proportions with General Loss Functions. CoRR Lorne Applebaum, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren
2025	J	`jnl`	Optimal Rates in Continual Linear Regression via Increasing Regularization. CoRR Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Itay Evron
2025	A*	`conf`	Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization. ICML Shira Vansover-Hager, Tomer Koren, Roi Livni
2025	J	`jnl`	Rapid Overfitting of Multi-Pass Stochastic Gradient Descent in Stochastic Convex Optimization. CoRR Shira Vansover-Hager, Tomer Koren, Roi Livni
2025	J	`jnl`	Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back. CoRR Alon Cohen, Liad Erez, Steve Hanneke, Tomer Koren, Yishay Mansour, Shay Moran, Qian Zhang
2025	B	`conf`	The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. ALT Matan Schliserman, Uri Sherman, Tomer Koren
2025	J	`jnl`	The Hidden Cost of Approximation in Online Mirror Descent. CoRR Ofir Schlisselberg, Uri Sherman, Tomer Koren, Yishay Mansour
2024	J	`jnl`	A Note on High-Probability Analysis of Algorithms with Exponential, Sub-Gaussian, and General Light Tails. CoRR Amit Attia, Tomer Koren
2024	J	`jnl`	Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization. CoRR Matan Schliserman, Tomer Koren
2024	A*	`conf`	Fast Rates for Bandit PAC Multiclass Classification. NeurIPS Liad Erez, Alon Peled-Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2024	J	`jnl`	Fast Rates for Bandit PAC Multiclass Classification. CoRR Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2024	A	`conf`	Faster Convergence with MultiWay Preferences. AISTATS Aadirupa Saha, Vitaly Feldman, Yishay Mansour, Tomer Koren
2024	J	`jnl`	Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching. CoRR Amit Attia, Ofir Gaash, Tomer Koren
2024	A*	`conf`	How Free is Parameter-Free Stochastic Optimization? ICML Amit Attia, Tomer Koren
2024	J	`jnl`	How Free is Parameter-Free Stochastic Optimization? CoRR Amit Attia, Tomer Koren
2024	A*	`conf`	Private Online Learning via Lazy Algorithms. NeurIPS Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar
2024	J	`jnl`	Private Online Learning via Lazy Algorithms. CoRR Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar
2024	A*	`conf`	Rate-Optimal Policy Optimization for Linear Markov Decision Processes. ICML Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
2024	J	`jnl`	The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. CoRR Matan Schliserman, Uri Sherman, Tomer Koren
2024	A*	`conf`	The Real Price of Bandit Information in Multiclass Classification. COLT Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2024	J	`jnl`	The Real Price of Bandit Information in Multiclass Classification. CoRR Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
2023	J	`jnl`	Faster Convergence with Multiway Preferences. CoRR Aadirupa Saha, Vitaly Feldman, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. ICML Uri Sherman, Tomer Koren, Yishay Mansour
2023	J	`jnl`	Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2023	J	`jnl`	Locally Optimal Descent for Dynamic Stepsize Scheduling. CoRR Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2023	A*	`conf`	Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. ICML Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2023	J	`jnl`	Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime. CoRR Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2023	A*	`conf`	Private Online Prediction from Experts: Separations and Faster Rates. COLT Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2023	J	`jnl`	Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. ICML Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2023	A*	`conf`	SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance. ICML Amit Attia, Tomer Koren
2023	J	`jnl`	SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance. CoRR Amit Attia, Tomer Koren
2023	A*	`conf`	Tight Risk Bounds for Gradient Descent on Separable Data. NeurIPS Matan Schliserman, Tomer Koren
2023	J	`jnl`	Tight Risk Bounds for Gradient Descent on Separable Data. CoRR Matan Schliserman, Tomer Koren
2022	A*	`conf`	Benign Underfitting of Stochastic Gradient Descent. NeurIPS Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
2022	J	`jnl`	Benign Underfitting of Stochastic Gradient Descent. CoRR Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
2022	A*	`conf`	Better Best of Both Worlds Bounds for Bandits with Switching Costs. NeurIPS Idan Amir, Guy Azov, Tomer Koren, Roi Livni
2022	J	`jnl`	Better Best of Both Worlds Bounds for Bandits with Switching Costs. CoRR Idan Amir, Guy Azov, Tomer Koren, Roi Livni
2022	J	`jnl`	Dueling Convex Optimization with General Preferences. CoRR Aadirupa Saha, Tomer Koren, Yishay Mansour
2022	A*	`conf`	Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. COLT Asaf B. Cassel, Alon Cohen, Tomer Koren
2022	J	`jnl`	Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. CoRR Asaf B. Cassel, Alon Cohen, Tomer Koren
2022	J	`jnl`	Private Online Prediction from Experts: Separations and Faster Rates. CoRR Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2022	A*	`conf`	Rate-Optimal Online Convex Optimization in Adaptive Linear Control. NeurIPS Asaf B. Cassel, Alon Peled-Cohen, Tomer Koren
2022	J	`jnl`	Rate-Optimal Online Convex Optimization in Adaptive Linear Control. CoRR Asaf B. Cassel, Alon Cohen, Tomer Koren
2022	J	`jnl`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. CoRR Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2022	A*	`conf`	Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond. COLT Matan Schliserman, Tomer Koren
2022	J	`jnl`	Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond. CoRR Matan Schliserman, Tomer Koren
2022	A*	`conf`	Uniform Stability for First-Order Empirical Risk Minimization. COLT Amit Attia, Tomer Koren
2022	J	`jnl`	Uniform Stability for First-Order Empirical Risk Minimization. CoRR Amit Attia, Tomer Koren
2021	A*	`conf`	Adversarial Dueling Bandits. ICML Aadirupa Saha, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Algorithmic Instabilities of Accelerated Gradient Descent. NeurIPS Amit Attia, Tomer Koren
2021	A*	`conf`	Asynchronous Stochastic Optimization Robust to Arbitrary Delays. NeurIPS Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2021	J	`jnl`	Asynchronous Stochastic Optimization Robust to Arbitrary Delays. CoRR Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
2021	J	`jnl`	Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs. CoRR Liad Erez, Tomer Koren
2021	A*	`conf`	Dueling Convex Optimization. ICML Aadirupa Saha, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Lazy OCO: Online Convex Optimization on a Switching Budget. COLT Uri Sherman, Tomer Koren
2021	J	`jnl`	Lazy OCO: Online Convex Optimization on a Switching Budget. CoRR Uri Sherman, Tomer Koren
2021	J	`jnl`	Multiplicative Reweighting for Robust Neural Network Optimization. CoRR Noga Bar, Tomer Koren, Raja Giryes
2021	A*	`conf`	Never Go Full Batch (in Stochastic Convex Optimization). NeurIPS Idan Amir, Yair Carmon, Tomer Koren, Roi Livni
2021	J	`jnl`	Never Go Full Batch (in Stochastic Convex Optimization). CoRR Idan Amir, Yair Carmon, Tomer Koren, Roi Livni
2021	A*	`conf`	Online Markov Decision Processes with Aggregate Bandit Feedback. COLT Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Online Markov Decision Processes with Aggregate Bandit Feedback. CoRR Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret. ICML Asaf B. Cassel, Tomer Koren
2021	J	`jnl`	Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret. CoRR Asaf B. Cassel, Tomer Koren
2021	A*	`conf`	Optimal Rates for Random Order Online Optimization. NeurIPS Uri Sherman, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Optimal Rates for Random Order Online Optimization. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry. ICML Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2021	J	`jnl`	Private Stochastic Convex Optimization: Optimal Rates in 𝓁 CoRR Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
2021	A*	`conf`	SGD Generalizes Better Than GD (And Regularization Doesn't Help). COLT Idan Amir, Tomer Koren, Roi Livni
2021	J	`jnl`	SGD Generalizes Better Than GD (And Regularization Doesn't Help). CoRR Idan Amir, Tomer Koren, Roi Livni
2021	A*	`conf`	Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. ICML Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions. CoRR Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour
2021	J	`jnl`	The Instability of Accelerated Gradient Descent. CoRR Amit Attia, Tomer Koren
2021	A*	`conf`	Towards Best-of-All-Worlds Online Learning with Feedback Graphs. NeurIPS Liad Erez, Tomer Koren
2020	J	`jnl`	Adversarial Dueling Bandits. CoRR Aadirupa Saha, Tomer Koren, Yishay Mansour
2020	A*	`conf`	Bandit Linear Control. NeurIPS Asaf B. Cassel, Tomer Koren
2020	J	`jnl`	Bandit Linear Control. CoRR Asaf B. Cassel, Tomer Koren
2020	A*	`conf`	Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study. NeurIPS Assaf Dauber, Meir Feder, Tomer Koren, Roi Livni
2020	J	`jnl`	Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study. CoRR Assaf Dauber, Meir Feder, Tomer Koren, Roi Livni
2020	J	`jnl`	Disentangling Adaptive Gradient Methods from Learning Rates. CoRR Naman Agarwal, Rohan Anil, Elad Hazan, Tomer Koren, Cyril Zhang
2020	J	`jnl`	Holdout SGD: Byzantine Tolerant Federated Learning. CoRR Shahar Azulay, Lior Raz, Amir Globerson, Tomer Koren, Yehuda Afek
2020	A*	`conf`	Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. ICML Asaf B. Cassel, Alon Cohen, Tomer Koren
2020	J	`jnl`	Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. CoRR Asaf B. Cassel, Alon Cohen, Tomer Koren
2020	A*	`conf`	Open Problem: Tight Convergence of SGD in Constant Dimension. COLT Tomer Koren, Shahar Segal
2020	A*	`conf`	Prediction with Corrupted Expert Advice. NeurIPS Idan Amir, Idan Attias, Tomer Koren, Yishay Mansour, Roi Livni
2020	J	`jnl`	Prediction with Corrupted Expert Advice. CoRR Idan Amir, Idan Attias, Tomer Koren, Roi Livni, Yishay Mansour
2020	J	`jnl`	Private Stochastic Convex Optimization: Optimal Rates in Linear Time. CoRR Vitaly Feldman, Tomer Koren, Kunal Talwar
2020	A*	`conf`	Private stochastic convex optimization: optimal rates in linear time. STOC Vitaly Feldman, Tomer Koren, Kunal Talwar
2020	J	`jnl`	Second Order Optimization Made Practical. CoRR Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer
2020	A*	`conf`	Stochastic Optimization with Laggard Data Pipelines. NeurIPS Naman Agarwal, Rohan Anil, Tomer Koren, Kunal Talwar, Cyril Zhang
2020	J	`jnl`	Stochastic Optimization with Laggard Data Pipelines. CoRR Naman Agarwal, Rohan Anil, Tomer Koren, Kunal Talwar, Cyril Zhang
2019	A*	`conf`	Better Algorithms for Stochastic Bandits with Adversarial Corruptions. COLT Anupam Gupta, Tomer Koren, Kunal Talwar
2019	J	`jnl`	Better Algorithms for Stochastic Bandits with Adversarial Corruptions. CoRR Anupam Gupta, Tomer Koren, Kunal Talwar
2019	J	`jnl`	Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret. CoRR Alon Cohen, Tomer Koren, Yishay Mansour
2019	A*	`conf`	Learning Linear-Quadratic Regulators Efficiently with only √T Regret. ICML Alon Cohen, Tomer Koren, Yishay Mansour
2019	A*	`conf`	Memory Efficient Adaptive Optimization. NeurIPS Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer
2019	J	`jnl`	Memory-Efficient Adaptive Optimization for Large-Scale Learning. CoRR Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer
2019	A*	`conf`	Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. NeurIPS Ehsan Amid, Manfred K. Warmuth, Rohan Anil, Tomer Koren
2019	J	`jnl`	Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. CoRR Ehsan Amid, Manfred K. Warmuth, Rohan Anil, Tomer Koren
2019	A*	`conf`	Semi-Cyclic Stochastic Gradient Descent. ICML Hubert Eichner, Tomer Koren, Brendan McMahan, Nathan Srebro, Kunal Talwar
2019	J	`jnl`	Semi-Cyclic Stochastic Gradient Descent. CoRR Hubert Eichner, Tomer Koren, H. Brendan McMahan, Nathan Srebro, Kunal Talwar
2018	A*	`conf`	Online Linear Quadratic Control. ICML Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
2018	J	`jnl`	Online Linear Quadratic Control. CoRR Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
2018	A*	`conf`	Shampoo: Preconditioned Stochastic Tensor Optimization. ICML Vineet Gupta, Tomer Koren, Yoram Singer
2018	J	`jnl`	Shampoo: Preconditioned Stochastic Tensor Optimization. CoRR Vineet Gupta, Tomer Koren, Yoram Singer
2017	J	`jnl`	A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization. CoRR Vineet Gupta, Tomer Koren, Yoram Singer
2017	—	`conf`	Affine-Invariant Online Optimization and the Low-rank Experts Problem. NIPS Tomer Koren, Roi Livni
2017	A*	`conf`	Bandits with Movement Costs and Adaptive Pricing. COLT Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Bandits with Movement Costs and Adaptive Pricing. CoRR Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Chasing Ghosts: Competing with Stateful Policies. SIAM J. Comput. Uriel Feige, Tomer Koren, Moshe Tennenholtz
2017	—	`conf`	Multi-Armed Bandits with Metric Movement Costs. NIPS Tomer Koren, Roi Livni, Yishay Mansour
2017	J	`jnl`	Multi-Armed Bandits with Metric Movement Costs. CoRR Tomer Koren, Roi Livni, Yishay Mansour
2017	A*	`conf`	Tight Bounds for Bandit Combinatorial Optimization. COLT Alon Cohen, Tamir Hazan, Tomer Koren
2017	J	`jnl`	Tight Bounds for Bandit Combinatorial Optimization. CoRR Alon Cohen, Tamir Hazan, Tomer Koren
2016	J	`jnl`	A linear-time algorithm for trust region problems. Math. Program. Elad Hazan, Tomer Koren
2016	A*	`conf`	Online Learning with Feedback Graphs Without the Graphs. ICML Alon Cohen, Tamir Hazan, Tomer Koren
2016	J	`jnl`	Online Learning with Feedback Graphs Without the Graphs. CoRR Alon Cohen, Tamir Hazan, Tomer Koren
2016	A*	`conf`	Online Learning with Low Rank Experts. COLT Elad Hazan, Tomer Koren, Roi Livni, Yishay Mansour
2016	J	`jnl`	Online Learning with Low Rank Experts. CoRR Elad Hazan, Tomer Koren, Roi Livni, Yishay Mansour
2016	—	`conf`	Online Pricing with Strategic and Patient Buyers. NIPS Michal Feldman, Tomer Koren, Roi Livni, Yishay Mansour, Aviv Zohar
2016	—	`conf`	The Limits of Learning with Missing Data. NIPS Brian Bullins, Elad Hazan, Tomer Koren
2016	A*	`conf`	The computational power of optimization in online learning. STOC Elad Hazan, Tomer Koren
2015	A*	`conf`	Bandit Convex Optimization: $\sqrt{T}$ Regret in One Dimension. COLT Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres
2015	J	`jnl`	Bandit Convex Optimization: sqrt{T} Regret in One Dimension. CoRR Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres
2015	—	`conf`	Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff. NIPS Ofer Dekel, Ronen Eldan, Tomer Koren
2015	—	`conf`	Fast Rates for Exp-concave Empirical Risk Minimization. NIPS Tomer Koren, Kfir Y. Levy
2015	A*	`conf`	Online Learning with Feedback Graphs: Beyond Bandits. COLT Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren
2015	J	`jnl`	Online Learning with Feedback Graphs: Beyond Bandits. CoRR Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren
2015	J	`jnl`	Oracle-Based Robust Optimization via Online Learning. Oper. Res. Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor
2015	J	`jnl`	The Computational Power of Optimization in Online Learning. CoRR Elad Hazan, Tomer Koren
2014	J	`jnl`	A Linear-Time Algorithm for Trust Region Problems. CoRR Elad Hazan, Tomer Koren
2014	A*	`conf`	Bandits with switching costs: STOC Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2014	A*	`conf`	Chasing Ghosts: Competing with Stateful Policies. FOCS Uriel Feige, Tomer Koren, Moshe Tennenholtz
2014	J	`jnl`	Chasing Ghosts: Competing with Stateful Policies. CoRR Uriel Feige, Tomer Koren, Moshe Tennenholtz
2014	A*	`conf`	Logistic Regression: Tight Bounds for Stochastic and Online Optimization. COLT Elad Hazan, Tomer Koren, Kfir Y. Levy
2014	J	`jnl`	Logistic Regression: Tight Bounds for Stochastic and Online Optimization. CoRR Elad Hazan, Tomer Koren, Kfir Y. Levy
2014	A*	`conf`	Online Learning with Composite Loss Functions. COLT Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2014	J	`jnl`	Online Learning with Composite Loss Functions. CoRR Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2014	J	`jnl`	Oracle-Based Robust Optimization via Online Learning. CoRR Aharon Ben-Tal, Elad Hazan, Tomer Koren, Shie Mannor
2014	—	`conf`	The Blinded Bandit: Learning with Adaptive Feedback. NIPS Ofer Dekel, Elad Hazan, Tomer Koren
2013	—	`conf`	Almost Optimal Exploration in Multi-Armed Bandits. ICML (3) Zohar Shay Karnin, Tomer Koren, Oren Somekh
2013	J	`jnl`	Bandits with Switching Costs: T^{2/3} Regret. CoRR Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2013	—	`conf`	Distributed Exploration in Multi-Armed Bandits. NIPS Eshcar Hillel, Zohar Shay Karnin, Tomer Koren, Ronny Lempel, Oren Somekh
2013	J	`jnl`	Distributed Exploration in Multi-Armed Bandits. CoRR Eshcar Hillel, Zohar Shay Karnin, Tomer Koren, Ronny Lempel, Oren Somekh
2013	A*	`conf`	Open Problem: Fast Stochastic Exp-Concave Optimization. COLT Tomer Koren
2012	J	`jnl`	Linear Regression with Limited Observation CoRR Elad Hazan, Tomer Koren
2012	A*	`conf`	Linear Regression with Limited Observation. ICML Elad Hazan, Tomer Koren
2012	Misc	`conf`	Supervised system identification based on local PCA models. ICASSP Tomer Koren, Ronen Talmon, Israel Cohen
2011	—	`conf`	Beating SGD: Learning SVMs in Sublinear Time. NIPS Elad Hazan, Tomer Koren, Nati Srebro
2011	J	`jnl`	Optimal Algorithms for Ridge and Lasso Regression with Partially Observed Attributes CoRR Elad Hazan, Tomer Koren