| 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 | 367 | 2022 |
| Learning Linear-Quadratic Regulators Efficiently with only $\sqrtT $ Regret A Cohen, T Koren, Y Mansour International Conference on Machine Learning, 1300-1309, 2019 | 210 | 2019 |
| Online linear quadratic control A Cohen, A Hasidim, T Koren, N Lazic, Y Mansour, K Talwar International Conference on Machine Learning, 1029-1038, 2018 | 161 | 2018 |
| Logarithmic regret for learning linear quadratic regulators efficiently A Cassel, A Cohen, T Koren International Conference on Machine Learning, 1328-1337, 2020 | 79 | 2020 |
| 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 | 72 | 2021 |
| Online learning with feedback graphs without the graphs A Cohen, T Hazan, T Koren International Conference on Machine Learning, 811-819, 2016 | 64 | 2016 |
| 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 | 58* | 2020 |
| Near-optimal regret bounds for stochastic shortest path A Cohen, H Kaplan, Y Mansour, A Rosenberg arXiv preprint arXiv:2002.09869, 2020 | 58* | 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 | 44 | 2015 |
| 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 | 34 | 2021 |
| Minimax regret for stochastic shortest path A Cohen, Y Efroni, Y Mansour, A Rosenberg Advances in neural information processing systems 34, 28350-28361, 2021 | 33 | 2021 |
| 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 | 29 | 2018 |
| Learning approximately optimal contracts A Cohen, A Deligkas, M Koren International Symposium on Algorithmic Game Theory, 331-346, 2022 | 25 | 2022 |
| Tight bounds for bandit combinatorial optimization A Cohen, T Hazan, T Koren Conference on Learning Theory, 629-642, 2017 | 25 | 2017 |
| 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 | 16 | 2020 |
| 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 | 11 | 2020 |
| Rate-optimal policy optimization for linear markov decision processes U Sherman, A Cohen, T Koren, Y Mansour arXiv preprint arXiv:2308.14642, 2023 | 10 | 2023 |
| Online markov decision processes with aggregate bandit feedback A Cohen, H Kaplan, T Koren, Y Mansour Conference on Learning Theory, 1301-1329, 2021 | 7 | 2021 |
| Efficient online linear control with stochastic convex costs and unknown dynamics AB Cassel, A Cohen, T Koren Conference on Learning Theory, 3589-3604, 2022 | 6 | 2022 |
| Unknown mixing times in apprenticeship and reinforcement learning T Zahavy, A Cohen, H Kaplan, Y Mansour Conference on Uncertainty in Artificial Intelligence, 430-439, 2020 | 6 | 2020 |
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il