| 2026 | COLT | The Sample Complexity of Multiclass and Sparse Contextual Bandits. | Liad Erez, Fan Chen, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran, Alexander Rakhlin |
| 2026 | STOC | Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back. | Alon Cohen, Liad Erez, Steve Hanneke, Tomer Koren, Yishay Mansour, Shay Moran, Qian Zhang |
| 2025 | AISTATS | Locally Optimal Descent for Dynamic Stepsize Scheduling. | Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain |
| 2024 | COLT | The Real Price of Bandit Information in Multiclass Classification. | Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran |
| 2024 | ICML | Eluder-based Regret for Stochastic Contextual MDPs. | Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour |
| 2024 | ICML | Rate-Optimal Policy Optimization for Linear Markov Decision Processes. | Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour |
| 2023 | ICML | Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. | Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour |
| 2022 | COLT | Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. | Asaf B. Cassel, Alon Cohen, Tomer Koren |
| 2022 | SAGT | Learning Approximately Optimal Contracts. | Alon Cohen, Argyrios Deligkas, Moran Koren |
| 2021 | COLT | Online Markov Decision Processes with Aggregate Bandit Feedback. | Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour |
| 2020 | AAAI | Apprenticeship Learning via Frank-Wolfe. | Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour |
| 2020 | ICML | Near-optimal Regret Bounds for Stochastic Shortest Path. | Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan |
| 2020 | ICML | Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. | Asaf B. Cassel, Alon Cohen, Tomer Koren |
| 2020 | UAI | Unknown mixing times in apprenticeship and reinforcement learning. | Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour |
| 2019 | ICML | Learning Linear-Quadratic Regulators Efficiently with only √T Regret. | Alon Cohen, Tomer Koren, Yishay Mansour |
| 2018 | ICML | Online Linear Quadratic Control. | Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar |
| 2018 | IJCAI | Planning and Learning with Stochastic Action Sets. | Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans |
| 2017 | COLT | Tight Bounds for Bandit Combinatorial Optimization. | Alon Cohen, Tamir Hazan, Tomer Koren |
| 2016 | ICML | Online Learning with Feedback Graphs Without the Graphs. | Alon Cohen, Tamir Hazan, Tomer Koren |
| 2015 | ICML | Following the Perturbed Leader for Online Structured Learning. | Alon Cohen, Tamir Hazan |