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Moshe Tennenholtz

Prof.

Former affiliation
 https://orcid.org/0000-0002-9459-5388

    Accepting PhD Students

    1989 …2024

    Research activity per year

    Search results

    • 2024

      Making a Nash Equilibrium Resilient to Coalitions

      Geffner, I. & Tennenholtz, M., 17 Dec 2024, EC 2024 - Proceedings of the 25th Conference on Economics and Computation. p. 213-238 26 p. (EC 2024 - Proceedings of the 25th Conference on Economics and Computation).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Prediction-Sharing During Training and Inference

      Gafni, Y., Gradwohl, R. & Tennenholtz, M., 2024, Algorithmic Game Theory - 17th International Symposium, SAGT 2024, Proceedings. Schäfer, G. & Ventre, C. (eds.). p. 425-442 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15156 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Ranking-Incentivized Document Manipulations for Multiple Queries

      Nachimovsky, H., Tennenholtz, M., Raiber, F. & Kurland, O., 2 Aug 2024, ICTIR 2024 - Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval. p. 61-70 10 p. (ICTIR 2024 - Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Reputation-based persuasion platforms

      Arieli, I., Madmon, O. & Tennenholtz, M., Sep 2024, In: Games and Economic Behavior. 147, p. 128-147 20 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Sponsored Question Answering

      Mordo, T., Tennenholtz, M. & Kurland, O., 2 Aug 2024, ICTIR 2024 - Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval. p. 167-173 7 p. (ICTIR 2024 - Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • STEER: Assessing the Economic Rationality of Large Language Models

      Raman, N., Lundy, T., Amouyal, S. J., Levine, Y., Leyton-Brown, K. & Tennenholtz, M., 2024, In: Proceedings of Machine Learning Research. 235, p. 42026-42047 22 p.

      Research output: Contribution to journal › Conference article › peer-review

    • 2023

      Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations

      Vasilisky, Z., Kurland, O., Tennenholtz, M. & Raiber, F., 9 Aug 2023, ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval. p. 205-214 10 p. (ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Coopetition Against an Amazon

      Gradwohl, R. & Tennenholtz, M., 2023, In: Journal of Artificial Intelligence Research. 76, p. 1077-1116 40 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Mediated Cheap Talk Design

      Arieli, I., Geffner, I. & Tennenholtz, M., 27 Jun 2023, AAAI-23 Technical Tracks 5. Williams, B., Chen, Y. & Neville, J. (eds.). p. 5456-5463 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Optimal Mechanism Design for Agents with DSL Strategies: The Case of Sybil Attacks in Combinatorial Auctions

      Gafni, Y. & Tennenholtz, M., 11 Jul 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 379, p. 245-259 15 p.

      Research output: Contribution to journal › Conference article › peer-review

      Open Access

    • Resilient Information Aggregation

      Arieli, I., Geffner, I. & Tennenholtz, M., 11 Jul 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 379, p. 31-45 15 p.

      Research output: Contribution to journal › Conference article › peer-review

      Open Access

    • Selling Data to a Competitor (Extended Abstract)

      Gradwohl, R. & Tennenholtz, M., 11 Jul 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 379, p. 318-330 13 p.

      Research output: Contribution to journal › Conference article › peer-review

      Open Access
    • 2022

      Competitive Search

      Kurland, O. & Tennenholtz, M., 6 Jul 2022, SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 2838-2849 12 p. (SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Coopetition Against an Amazon

      Gradwohl, R. & Tennenholtz, M., 2022, Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings. Kanellopoulos, P., Kyropoulou, M. & Voudouris, A. (eds.). p. 347-365 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13584 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Data Curation from Privacy-Aware Agents

      Shahmoon, R., Smorodinsky, R. & Tennenholtz, M., 2022, Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings. Kanellopoulos, P., Kyropoulou, M. & Voudouris, A. (eds.). p. 366-382 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13584 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Designing an Automatic Agent for Repeated Language–based Persuasion Games

      Raifer, M., Rotman, G., Apel, R., Tennenholtz, M. & Reichart, R., 25 Mar 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 307-324 18 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Long-term Data Sharing under Exclusivity Attacks

      Gafni, Y. & Tennenholtz, M., 12 Jul 2022, EC 2022 - Proceedings of the 23rd ACM Conference on Economics and Computation. p. 739-759 21 p. (EC 2022 - Proceedings of the 23rd ACM Conference on Economics and Computation).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Pareto-Improving Data-Sharing

      Gradwohl, R. & Tennenholtz, M., 21 Jun 2022, Proceedings of 2022 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022. p. 197-198 2 p. (ACM International Conference Proceeding Series).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Predicting Decisions in Language Based Persuasion Games

      Apel, R., Erev, I., Reichart, R. & Tennenholtz, M., 2022, In: Journal of Artificial Intelligence Research. 73, p. 1025-1091 67 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
    • 2021

      Driving the Herd: Search Engines as Content Influencers

      Goren, G., Kurland, O., Tennenholtz, M. & Raiber, F., 26 Oct 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. p. 586-595 10 p. (International Conference on Information and Knowledge Management, Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Game of coins

      Spiegelman, A., Keidar, I. & Tennenholtz, M., Jul 2021, Proceedings - 2021 IEEE 41st International Conference on Distributed Computing Systems, ICDCS 2021. p. 954-964 11 p. (2021 IEEE 41ST INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2021)).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • PMI-MASKING: PRINCIPLED MASKING OF CORRELATED SPANS

      Levine, Y., Lenz, B., Lieber, O., Abend, O., Leyton-Brown, K., Tennenholtz, M. & Shoham, Y., 2021.

      Research output: Contribution to conference › Paper › peer-review

    • PMI-Masking: Principled masking of correlated spans

      Levine, Y., Lenz, B., Lieber, O., Abend, O., Leyton-Brown, K., Tennenholtz, M. & Shoham, Y., 2021, 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Protecting the Protected Group: Circumventing Harmful Fairness

      Ben-Porat, O., Sandomirskiy, F. & Tennenholtz, M., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. p. 5176-5184 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 6A).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Protecting the Protected Group: Circumventing Harmful Fairness

      Ben-Porat, O., Sandomirskiy, F. & Tennenholtz, M., 1 May 2021, Proceedings of the AAAI Conference on Artificial Intelligence. 6 ed. Vol. 35. p. 5176-5184 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Representative committees of peers

      Meir, R., Sandomirskiy, F. & Tennenholtz, M., 1 Jul 2021, In: Journal of Artificial Intelligence Research. 71, p. 401-429 29 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation

      Gafni, Y., Lavi, R. & Tennenholtz, M., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z.-H. (ed.). p. 210-216 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-Name Manipulation

      Gafni, Y., Lavi, R. & Tennenholtz, M., 2021, In: Journal of Artificial Intelligence Research. 72, p. 99-135 37 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
    • 2020

      Content provider dynamics and coordination in recommendation ecosystems

      Ben-Porat, O., Rosenberg, I. & Tennenholtz, M., 2020, Content provider dynamics and coordination in recommendation ecosystems. Vol. 2020-December. (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Coopetition Against an Amazon

      Gradwohl, R. & Tennenholtz, M., 2020, In: CoRR. abs/2005.10038

      Research output: Contribution to journal › Article › peer-review

    • Designing committees for mitigating biases

      Feldman, M., Mansour, Y., Nisan, N., Oren, S. & Tennenholtz, M., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. p. 1942-1949 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Distributed Signaling Games

      Feldman, M., Tennenholtz, M. & Weinstein, O., 1 May 2020, In: ACM Transactions on Economics and Computation. 8, 2, 7.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Fiduciary bandits

      Bahar, G., Porat, O. B., Brown, K. L. & Tennenholtz, M., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 495-504 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-1).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Incentive-compatible classification

      Babichenko, Y., Dean, O. & Tennenholtz, M., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. p. 7055-7062 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Incentive-Compatible Selection Mechanisms for Forests

      Babichenko, Y., Dean, O. & Tennenholtz, M., 13 Jul 2020, EC 2020 - Proceedings of the 21st ACM Conference on Economics and Computation. p. 111-131 21 p. 3399456. (EC 2020 - Proceedings of the 21st ACM Conference on Economics and Computation).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Learning under Invariable Bayesian Safety

      Bahar, G., Ben-Porat, O., Leyton-Brown, K. & Tennenholtz, M., 2020, In: CoRR. abs/2006.04497

      Research output: Contribution to journal › Article › peer-review

    • Multi-issue social learning

      Bahar, G., Arieli, I., Smorodinsky, R. & Tennenholtz, M., Mar 2020, In: Mathematical Social Sciences. 104, p. 29-39 11 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Predicting strategic behavior from free text

      Ben-Porat, O., Kuchy, L., Hirsch, S., Elad, G., Reichart, R. & Tennenholtz, M., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). p. 5020-5024 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Predicting strategic behavior from free text

      Ben-Porat, O., Hirsch, S., Kuchy, L., Elad, G., Reichart, R. & Tennenholtz, M., May 2020, In: Journal of Artificial Intelligence Research. 68, p. 413-445 33 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Predicting Strategic Behavior from Free Text (Extended Abstract)

      Ben-Porat, O., Kuchy, L., Hirsch, S., Elad, G., Reichart, R. & Tennenholtz, M., 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). p. 5020-5024 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses

      Gefen, G., Ben-Porat, O., Tennenholtz, M. & Yom-Tov, E., 20 Apr 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. p. 552-556 5 p. (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Ranking-Incentivized Quality Preserving Content Modification

      Goren, G., Kurland, O., Tennenholtz, M. & Raiber, F., 25 Jul 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 259-268 10 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Studying Ranking-Incentivized Web Dynamics

      Vasilisky, Z., Tennenholtz, M. & Kurland, O., 25 Jul 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 2093-2096 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • VCG under sybil (False-Name) attacks - A Bayesian analysis

      Gafni, Y., Lavi, R. & Tennenholtz, M., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. p. 1966-1973 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2019

      Dynamics of evolving social groups

      Alon, N., Feldman, M., Mansour, Y., Oren, S. & Tennenholtz, M., Sep 2019, In: ACM Transactions on Economics and Computation. 7, 3, 14.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • From recommendation systems to facility location games

      Ben-Porat, O., Goren, G., Rosenberg, I. & Tennenholtz, M., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. p. 1772-1779 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Multiunit facility location games

      Ben-Porat, O. & Tennenholtz, M., 2019, In: Mathematics of Operations Research. 44, 3, p. 865-889 25 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Predicting human decisions with behavioral theories and machine learning

      Plonsky, O., Apel, R., Ert, E., Tennenholtz, M., Bourgin, D., Peterson, J. C., Reichman, D., Griffiths, T. L., Russell, S. J., Carter, E. C., Cavanagh, J. F. & Erev, I., 2019, In: CoRR. abs/1904.06866

      Research output: Contribution to journal › Article › peer-review

    • Regression equilibrium

      Ben-Porat, O. & Tennenholtz, M., 17 Jun 2019, ACM EC 2019 - Proceedings of the 2019 ACM Conference on Economics and Computation. p. 173-191 19 p. (ACM EC 2019 - Proceedings of the 2019 ACM Conference on Economics and Computation).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Rethinking search engines and recommendation systems: A game theoretic perspective

      Tennenholtz, M. & Kurland, O., Dec 2019, In: Communications of the ACM. 62, 12, p. 66-75 10 p.

      Research output: Contribution to journal › Review article › peer-review