Alon Cohen

According to our database, Alon Cohen authored at least 34 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fast Rates for Bandit PAC Multiclass Classification.

Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran

CoRR, 2024

Rate-Optimal Policy Optimization for Linear Markov Decision Processes.

Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Eluder-based Regret for Stochastic Contextual MDPs.

Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Real Price of Bandit Information in Multiclass Classification.

Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Learning approximately optimal contracts.

Alon Cohen, Argyrios Deligkas, Moran Koren

Theor. Comput. Sci., November, 2023

Locally Optimal Descent for Dynamic Stepsize Scheduling.

Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain

CoRR, 2023

APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT.

Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins, Alon Cohen

CoRR, 2023

Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation.

Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour

Proceedings of the International Conference on Machine Learning, 2023

2022

Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs.

Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour

CoRR, 2022

Rate-Optimal Online Convex Optimization in Adaptive Linear Control.

Asaf B. Cassel, Alon Peled-Cohen, Tomer Koren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics.

Asaf B. Cassel, Alon Cohen, Tomer Koren

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

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, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

Minimax Regret for Stochastic Shortest Path.

Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Asynchronous Stochastic Optimization Robust to Arbitrary Delays.

Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Online Markov Decision Processes with Aggregate Bandit Feedback.

Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour

Proceedings of the Conference on Learning Theory, 2021

2020

Unknown mixing times in apprenticeship and reinforcement learning.

Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently.

Asaf B. Cassel, Alon Cohen, Tomer Koren

Proceedings of the 37th International Conference on Machine Learning, 2020

Near-optimal Regret Bounds for Stochastic Shortest Path.

Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan

Proceedings of the 37th International Conference on Machine Learning, 2020

Apprenticeship Learning via Frank-Wolfe.

Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Average reward reinforcement learning with unknown mixing times.

Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour

CoRR, 2019

Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret.

Alon Cohen, Tomer Koren, Yishay Mansour

CoRR, 2019

Learning and Generalization for Matching Problems.

Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran

CoRR, 2019

Learning to Screen.

Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Linear-Quadratic Regulators Efficiently with only √T Regret.

Alon Cohen, Tomer Koren, Yishay Mansour

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy.

Alon Cohen, Moran Koren, Argyrios Deligkas

CoRR, 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

Planning and Learning with Stochastic Action Sets.

Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online Linear Quadratic Control.

Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Online Learning with Many Experts.

Alon Cohen, Shie Mannor

CoRR, 2017

Tight Bounds for Bandit Combinatorial Optimization.

Alon Cohen, Tamir Hazan, Tomer Koren

Proceedings of the 30th Conference on Learning Theory, 2017

2016

Online Learning with Feedback Graphs Without the Graphs.

Alon Cohen, Tamir Hazan, Tomer Koren

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Following the Perturbed Leader for Online Structured Learning.

Alon Cohen, Tamir Hazan

Proceedings of the 32nd International Conference on Machine Learning, 2015

2013

Faster Optimal Planning with Partial-Order Pruning.

David Leo Wright Hall, Alon Cohen, David Burkett, Dan Klein

Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013