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Alon Cohen
Alon Cohen
Tel-Aviv University and Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Shared computational principles for language processing in humans and deep language models
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
Nature neuroscience 25 (3), 369-380, 2022
2192022
Learning Linear-Quadratic Regulators Efficiently with only $\sqrtT $ Regret
A Cohen, T Koren, Y Mansour
International Conference on Machine Learning, 1300-1309, 2019
1792019
Online linear quadratic control
A Cohen, A Hasidim, T Koren, N Lazic, Y Mansour, K Talwar
International Conference on Machine Learning, 1029-1038, 2018
1422018
Logarithmic regret for learning linear quadratic regulators efficiently
A Cassel, A Cohen, T Koren
International Conference on Machine Learning, 1328-1337, 2020
732020
Online learning with feedback graphs without the graphs
A Cohen, T Hazan, T Koren
International Conference on Machine Learning, 811-819, 2016
562016
Learning and evaluating a differentially private pre-trained language model
S Hoory, A Feder, A Tendler, S Erell, A Peled-Cohen, I Laish, H Nakhost, ...
Findings of the Association for Computational Linguistics: EMNLP 2021, 1178-1189, 2021
542021
Near-optimal regret bounds for stochastic shortest path
A Cohen, H Kaplan, Y Mansour, A Rosenberg
arXiv preprint arXiv:2002.09869, 2020
51*2020
Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
BioRxiv, 2020.12. 02.403477, 2020
49*2020
Following the Perturbed Leader for Online Structured Learning
A Cohen, T Hazan
Proceedings of The 32nd International Conference on Machine Learning, 1034-1042, 2015
382015
Minimax regret for stochastic shortest path
A Cohen, Y Efroni, Y Mansour, A Rosenberg
Advances in neural information processing systems 34, 28350-28361, 2021
242021
Planning and learning with stochastic action sets
C Boutilier, A Cohen, A Daniely, A Hassidim, Y Mansour, O Meshi, ...
arXiv preprint arXiv:1805.02363, 2018
232018
Asynchronous stochastic optimization robust to arbitrary delays
A Cohen, A Daniely, Y Drori, T Koren, M Schain
Advances in Neural Information Processing Systems 34, 9024-9035, 2021
222021
Tight bounds for bandit combinatorial optimization
A Cohen, T Hazan, T Koren
Conference on Learning Theory, 629-642, 2017
212017
Apprenticeship learning via frank-wolfe
T Zahavy, A Cohen, H Kaplan, Y Mansour
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6720-6728, 2020
142020
Learning approximately optimal contracts
A Cohen, A Deligkas, M Koren
International Symposium on Algorithmic Game Theory, 331-346, 2022
132022
Average reward reinforcement learning with unknown mixing times
T Zahavy, A Cohen, H Kaplan, Y Mansour
The Conference on Uncertainty in Artificial Intelligence (UAI), 2020
112020
Rate-optimal policy optimization for linear markov decision processes
U Sherman, A Cohen, T Koren, Y Mansour
arXiv preprint arXiv:2308.14642, 2023
52023
Rate-optimal online convex optimization in adaptive linear control
AB Cassel, A Peled-Cohen, T Koren
Advances in Neural Information Processing Systems 35, 7410-7422, 2022
52022
Efficient online linear control with stochastic convex costs and unknown dynamics
AB Cassel, A Cohen, T Koren
Conference on Learning Theory, 3589-3604, 2022
52022
Online learning with many experts
A Cohen, S Mannor
arXiv preprint arXiv:1702.07870, 2017
52017
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