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Journal Articles
- 2023
[j1]Alon Cohen, Argyrios Deligkas, Moran Koren
:
Learning approximately optimal contracts. Theor. Comput. Sci. 980: 114219 (2023)
Conference and Workshop Papers
- 2023
- [c21]Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour:
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. ICML 2023: 19287-19314 - 2022
- [c20]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:
Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP 2022: 60-68 - [c19]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. COLT 2022: 3589-3604 - [c18]Asaf B. Cassel, Alon Peled-Cohen, Tomer Koren:
Rate-Optimal Online Convex Optimization in Adaptive Linear Control. NeurIPS 2022 - [c17]Alon Cohen, Argyrios Deligkas, Moran Koren:
Learning Approximately Optimal Contracts. SAGT 2022: 331-346 - 2021
- [c16]Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour:
Online Markov Decision Processes with Aggregate Bandit Feedback. COLT 2021: 1301-1329 - [c15]Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias:
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) 2021: 1178-1189 - [c14]Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain:
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. NeurIPS 2021: 9024-9035 - [c13]Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg:
Minimax Regret for Stochastic Shortest Path. NeurIPS 2021: 28350-28361 - 2020
- [c12]Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Apprenticeship Learning via Frank-Wolfe. AAAI 2020: 6720-6728 - [c11]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. ICML 2020: 1328-1337 - [c10]Aviv Rosenberg, Alon Cohen, Yishay Mansour, Haim Kaplan:
Near-optimal Regret Bounds for Stochastic Shortest Path. ICML 2020: 8210-8219 - [c9]Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Unknown mixing times in apprenticeship and reinforcement learning. UAI 2020: 430-439 - 2019
- [c8]Alon Cohen, Tomer Koren, Yishay Mansour:
Learning Linear-Quadratic Regulators Efficiently with only √T Regret. ICML 2019: 1300-1309 - [c7]Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran:
Learning to Screen. NeurIPS 2019: 8612-8621 - 2018
- [c6]Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar:
Online Linear Quadratic Control. ICML 2018: 1028-1037 - [c5]Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. IJCAI 2018: 4674-4682 - 2017
- [c4]Alon Cohen, Tamir Hazan, Tomer Koren:
Tight Bounds for Bandit Combinatorial Optimization. COLT 2017: 629-642 - 2016
- [c3]Alon Cohen, Tamir Hazan, Tomer Koren:
Online Learning with Feedback Graphs Without the Graphs. ICML 2016: 811-819 - 2015
- [c2]Alon Cohen, Tamir Hazan:
Following the Perturbed Leader for Online Structured Learning. ICML 2015: 1034-1042 - 2013
- [c1]David Leo Wright Hall, Alon Cohen, David Burkett, Dan Klein:
Faster Optimal Planning with Partial-Order Pruning. ICAPS 2013
Informal and Other Publications
- 2023
- [i22]Orin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour:
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation. CoRR abs/2303.01464 (2023) - [i21]Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins, Alon Cohen:
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT. CoRR abs/2308.12649 (2023) - [i20]Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour:
Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR abs/2308.14642 (2023) - [i19]Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain:
Locally Optimal Descent for Dynamic Stepsize Scheduling. CoRR abs/2311.13877 (2023) - 2022
- [i18]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics. CoRR abs/2203.01170 (2022) - [i17]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Rate-Optimal Online Convex Optimization in Adaptive Linear Control. CoRR abs/2206.01426 (2022) - [i16]Orin Levy, Asaf B. Cassel, Alon Cohen, Yishay Mansour:
Counterfactual Optimism: Rate Optimal Regret for Stochastic Contextual MDPs. CoRR abs/2211.14932 (2022) - 2021
- [i15]Alon Cohen, Haim Kaplan, Tomer Koren, Yishay Mansour:
Online Markov Decision Processes with Aggregate Bandit Feedback. CoRR abs/2102.00490 (2021) - [i14]Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg:
Minimax Regret for Stochastic Shortest Path. CoRR abs/2103.13056 (2021) - [i13]Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain:
Asynchronous Stochastic Optimization Robust to Arbitrary Delays. CoRR abs/2106.11879 (2021) - 2020
- [i12]Asaf B. Cassel, Alon Cohen, Tomer Koren:
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently. CoRR abs/2002.08095 (2020) - [i11]Alon Cohen, Haim Kaplan, Yishay Mansour, Aviv Rosenberg:
Near-optimal Regret Bounds for Stochastic Shortest Path. CoRR abs/2002.09869 (2020) - 2019
- [i10]Alon Cohen, Avinatan Hassidim, Haim Kaplan, Yishay Mansour, Shay Moran:
Learning and Generalization for Matching Problems. CoRR abs/1902.04741 (2019) - [i9]Alon Cohen, Tomer Koren, Yishay Mansour:
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret. CoRR abs/1902.06223 (2019) - [i8]Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Average reward reinforcement learning with unknown mixing times. CoRR abs/1905.09704 (2019) - [i7]Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour:
Apprenticeship Learning via Frank-Wolfe. CoRR abs/1911.01679 (2019) - 2018
- [i6]Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. CoRR abs/1805.02363 (2018) - [i5]Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar:
Online Linear Quadratic Control. CoRR abs/1806.07104 (2018) - [i4]Alon Cohen, Moran Koren, Argyrios Deligkas:
Incentivizing the Dynamic Workforce: Learning Contracts in the Gig-Economy. CoRR abs/1811.06736 (2018) - 2017
- [i3]Alon Cohen, Tamir Hazan, Tomer Koren:
Tight Bounds for Bandit Combinatorial Optimization. CoRR abs/1702.07539 (2017) - [i2]Alon Cohen, Shie Mannor:
Online Learning with Many Experts. CoRR abs/1702.07870 (2017) - 2016
- [i1]Alon Cohen, Tamir Hazan, Tomer Koren:
Online Learning with Feedback Graphs Without the Graphs. CoRR abs/1605.07018 (2016)
Coauthor Index
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