Faster Optimal Planning with Partial-Order Pruning. - David Leo Wright Hall; Alon Cohen; David Burkett; Dan Klein 001 (ICAPS, 2013)

Following the Perturbed Leader for Online Structured Learning. - Alon Cohen; Tamir Hazan (ICML, 2015)

Online Learning with Feedback Graphs Without the Graphs. - Alon Cohen; Tamir Hazan; Tomer Koren (ICML, 2016)

Tight Bounds for Bandit Combinatorial Optimization. - Alon Cohen; Tamir Hazan; Tomer Koren (COLT, 2017)

Online Learning with Many Experts. - Alon Cohen; Shie Mannor (CoRR, 2017)

Online Linear Quadratic Control. - Alon Cohen; Avinatan Hassidim; Tomer Koren; Nevena Lazic; Yishay Mansour; Kunal Talwar (ICML, 2018)

Planning and Learning with Stochastic Action Sets. - Craig Boutilier; Alon Cohen; Avinatan Hassidim; Yishay Mansour; Ofer Meshi; Martin Mladenov; Dale Schuurmans (IJCAI, 2018)

Planning and Learning with Stochastic Action Sets. - Craig Boutilier; Alon Cohen; Amit Daniely; Avinatan Hassidim; Yishay Mansour; Ofer Meshi; Martin Mladenov; Dale Schuurmans (CoRR, 2018)

Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy. - Alon Cohen; Moran Koren; Argyrios Deligkas (CoRR, 2018)

Learning Linear-Quadratic Regulators Efficiently with only √T Regret. - Alon Cohen; Tomer Koren; Yishay Mansour (ICML, 2019)

Learning to Screen. - Alon Cohen; Avinatan Hassidim; Haim Kaplan; Yishay Mansour; Shay Moran (NeurIPS, 2019)

Learning and Generalization for Matching Problems. - Alon Cohen; Avinatan Hassidim; Haim Kaplan; Yishay Mansour; Shay Moran (CoRR, 2019)

Learning Linear-Quadratic Regulators Efficiently with only $ sqrt{T}$ Regret. - Alon Cohen; Tomer Koren; Yishay Mansour (CoRR, 2019)

Average reward reinforcement learning with unknown mixing times. - Tom Zahavy; Alon Cohen; Haim Kaplan; Yishay Mansour (CoRR, 2019)

Apprenticeship Learning via Frank-Wolfe. - Tom Zahavy; Alon Cohen; Haim Kaplan; Yishay Mansour (AAAI, 2020)

Near-optimal Regret Bounds for Stochastic Shortest Path. - Aviv Rosenberg 002; Alon Cohen; Yishay Mansour; Haim Kaplan (ICML, 2020)

Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. - Asaf B. Cassel; Alon Cohen; Tomer Koren (ICML, 2020)

Unknown mixing times in apprenticeship and reinforcement learning. - Tom Zahavy; Alon Cohen; Haim Kaplan; Yishay Mansour (UAI, 2020)

Online Markov Decision Processes with Aggregate Bandit Feedback. - Alon Cohen; Haim Kaplan; Tomer Koren; Yishay Mansour (COLT, 2021)

Learning and Evaluating a Differentially Private Pre-trained Language Model. - Shlomo Hoory; Amir Feder; Avichai Tendler; Sofia Erell; Alon Peled-Cohen; Itay Laish; Hootan Nakhost; Uri Stemmer; Ayelet Benjamini; Avinatan Hassidim; Yossi Matias (EMNLP (Findings), 2021)

Asynchronous Stochastic Optimization Robust to Arbitrary Delays. - Alon Cohen; Amit Daniely; Yoel Drori; Tomer Koren; Mariano Schain (NeurIPS, 2021)

Minimax Regret for Stochastic Shortest Path. - Alon Cohen; Yonathan Efroni; Yishay Mansour; Aviv Rosenberg 002 (NeurIPS, 2021)

Building a Clinically-Focused Problem List From Medical Notes. - Amir Feder; Itay Laish; Shashank Agarwal; Uri Lerner; Avel Atias; Cathy Cheung; Peter Clardy; Alon Peled-Cohen; Rachana Fellinger; Hengrui Liu; Lan Huong Nguyen; Birju Patel; et al. (LOUHI@EMNLP, 2022)

Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. - Asaf B. Cassel; Alon Cohen; Tomer Koren (COLT, 2022)

Rate-Optimal Online Convex Optimization in Adaptive Linear Control. - Asaf B. Cassel; Alon Peled-Cohen; Tomer Koren (NeurIPS, 2022)

Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs. - Orin Levy; Asaf B. Cassel; Alon Cohen; Yishay Mansour (CoRR, 2022)

Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. - Orin Levy; Alon Cohen; Asaf B. Cassel; Yishay Mansour (ICML, 2023)

APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT. - Hadar Schreiber Galler; Tom Zahavy; Guillaume Desjardins; Alon Cohen (CoRR, 2023)

Learning approximately optimal contracts. - Alon Cohen; Argyrios Deligkas; Moran Koren (Theor. Comput. Sci., 2023)

The Real Price of Bandit Information in Multiclass Classification. - Liad Erez; Alon Cohen; Tomer Koren; Yishay Mansour; Shay Moran (COLT, 2024)

Eluder-based Regret for Stochastic Contextual MDPs. - Orin Levy; Asaf B. Cassel; Alon Cohen; Yishay Mansour (ICML, 2024)

Rate-Optimal Policy Optimization for Linear Markov Decision Processes. - Uri Sherman; Alon Cohen; Tomer Koren; Yishay Mansour (ICML, 2024)

Fast Rates for Bandit PAC Multiclass Classification. - Liad Erez; Alon Peled-Cohen; Tomer Koren; Yishay Mansour; Shay Moran (NeurIPS, 2024)

Locally Optimal Descent for Dynamic Stepsize Scheduling. - Gilad Yehudai; Alon Cohen; Amit Daniely; Yoel Drori; Tomer Koren; Mariano Schain (AISTATS, 2025)