Alon Cohen

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Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
Orin Levy
Alon Cohen
Asaf Cassel
Yishay Mansour
ICML 2023 (2023)
Shared computational principles for language processing in humans and deep language models
Ariel Goldstein
Zaid Zada
Eliav Buchnik
Mariano Schain
Amy Price
Bobbi Aubrey
Samuel A. Nastase
Amir Feder
Dotan Emanuel
Alon Cohen
Aren Jansen
Harshvardhan Gazula
Gina Choe
Aditi Rao
Catherine Kim
Colton Casto
Lora Fanda
Werner Doyle
Daniel Friedman
Patricia Dugan
Lucia Melloni
Roi Reichart
Sasha Devore
Adeen Flinker
Liat Hasenfratz
Omer Levy,
Avinatan Hassidim
Michael Brenner
Yossi Matias
Kenneth A. Norman
Orrin Devinsky
Uri Hasson
Nature Neuroscience (2022)
Building a Clinically-Focused Problem List From Medical Notes
Alon Cohen
Amir Feder
Amir Taubenfeld
Aviel Atias
Avinatan Hassidim
Ayelet Benjamini
Birju Patel
Cathy Cheung
Charlie Yang
Hengrui Liu
Itay Laish
Lan Huong Nguyen
Liwen Xu
Natan Potikha
Peter Clardy
Rachana Fellinger
Shashank Agarwal
Uri Lerner
LOUHI 2022: The 13th International Workshop on Health Text Mining and Information Analysis (2022)
Learning and Evaluating a Differentially Private Pre-trained Language Model
Shlomo Hoory
Amir Feder
Avichai Tendler
Sofia Erell
Alon Cohen
Itay Laish
Hootan Nakhost
Uri Stemmer
Ayelet Benjamini
Avinatan Hassidim
Yossi Matias
Findings of the Association for Computational Linguistics: EMNLP 2021, Association for Computational Linguistics, Punta Cana, Dominican Republic, pp. 1178-1189
Minimax Regret for Stochastic Shortest Path
Alon Cohen
Aviv Rosenberg
Yishay Mansour
Yonathan Efroni
NeurIPS 2021 (2021) (to appear)
Stochastic Optimization with Arbitrary Delays
Alon Cohen
Amit Daniely
Mariano Schain
Tomer Koren
Yoel Drori
NeurIPS (2021)
Online Markov Decision Processes with Aggregate Bandit Feedback
Alon Cohen
Haim Kaplan
Tomer Koren
Yishay Mansour
Conference on Learning Theory (2021)
Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg
Alon Cohen
Haim Kaplan
Yishay Mansour
International Conference on Machine Learning (ICML) 2020 (2020)
Unknown mixing times in apprenticeship and reinforcement learning
Tom Zahavy
Alon Cohen
Haim Kaplan
Yishay Mansour
ICML 2019 (2020)
Apprenticeship Learning via Frank-Wolfe
Tom Zahavy
Alon Cohen
Haim Kaplan
Yishay Mansour
AAAI (2020)
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