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20162024

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  • Personalized Reinforcement Learning with a Budget of Policies

    Ivanov, D. & Ben-Porat, O., 25 Mar 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 11 ed. p. 12735-12743 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Principal-Agent Reward Shaping in MDPs

    Ben-Porat, O., Mansour, Y., Moshkovitz, M. & Taitler, B., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 9502-9510 9 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Frustratingly Easy Truth Discovery

    Meir, R., Amir, O., Ben-Porat, O., Ben-Shabat, T., Cohensius, G. & Xia, L., 27 Jun 2023, AAAI-23 Technical Tracks 5. Williams, B., Chen, Y. & Neville, J. (eds.). p. 6074-6083 10 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Learning with Exposure Constraints in Recommendation Systems

    Ben-Porat, O. & Torkan, R., 30 Apr 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. p. 3456-3466 11 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • Modeling Attrition in Recommender Systems with Departing Bandits

    Ben-Porat, O., Cohen, L., Leqi, L., Lipton, Z. C. & Mansour, Y., 2022, In: arXiv preprint arXiv:2203.13423.

    Research output: Contribution to journalArticlepeer-review