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ORCIDMoshe Tennenholtz
Person information
- affiliation: Technion - Israel Institute of Technology, Haifa, Israel
- award (2012): ACM - AAAI Allen Newell Award
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2020 – today
- 2024
[j85]Itai Arieli, Omer Madmon
, Moshe Tennenholtz:
Reputation-based persuasion platforms. Games Econ. Behav. 147: 128-147 (2024)- [c174]Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz:
STEER: Assessing the Economic Rationality of Large Language Models. ICML 2024 - [c173]Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland:
Ranking-Incentivized Document Manipulations for Multiple Queries. ICTIR 2024: 61-70 - [c172]Tommy Mordo, Moshe Tennenholtz, Oren Kurland:
Sponsored Question Answering. ICTIR 2024: 167-173 - [c171]Yotam Gafni, Ronen Gradwohl, Moshe Tennenholtz:
Prediction-Sharing During Training and Inference. SAGT 2024: 425-442 - [i99]Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
Receiver-Oriented Cheap Talk Design. CoRR abs/2401.03671 (2024) - [i98]Itai Arieli, Yakov Babichenko, Omer Madmon, Moshe Tennenholtz:
Robust Price Discrimination. CoRR abs/2401.16942 (2024) - [i97]Eilam Shapira, Omer Madmon, Roi Reichart, Moshe Tennenholtz:
Can Large Language Models Replace Economic Choice Prediction Labs? CoRR abs/2401.17435 (2024) - [i96]Narun K. Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz:
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models. CoRR abs/2402.09552 (2024) - [i95]Yotam Gafni, Ronen Gradwohl, Moshe Tennenholtz:
Prediction-sharing During Training and Inference. CoRR abs/2403.17515 (2024) - [i94]Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland:
Competitive Retrieval: Going Beyond the Single Query. CoRR abs/2404.09253 (2024) - [i93]Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz:
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions. CoRR abs/2405.11517 (2024) - [i92]Tommy Mordo, Moshe Tennenholtz, Oren Kurland:
Sponsored Question Answering. CoRR abs/2407.04471 (2024) - [i91]Eilam Shapira, Omer Madmon, Itamar Reinman, Samuel Joseph Amouyal, Roi Reichart, Moshe Tennenholtz:
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments. CoRR abs/2410.05254 (2024) - 2023
- [j84]Ronen Gradwohl, Moshe Tennenholtz:
Coopetition Against an Amazon. J. Artif. Intell. Res. 76: 1077-1116 (2023) - [c170]Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
Mediated Cheap Talk Design. AAAI 2023: 5456-5463 - [c169]Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations. ICTIR 2023: 205-214 - [c168]Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
Resilient Information Aggregation. TARK 2023: 31-45 - [c167]Yotam Gafni, Moshe Tennenholtz:
Optimal Mechanism Design for Agents with DSL Strategies: The Case of Sybil Attacks in Combinatorial Auctions. TARK 2023: 245-259 - [c166]Ronen Gradwohl, Moshe Tennenholtz:
Selling Data to a Competitor (Extended Abstract). TARK 2023: 318-330 - [i90]Ronen Gradwohl, Moshe Tennenholtz:
Selling Data to a Competitor. CoRR abs/2302.00285 (2023) - [i89]Eilam Shapira, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Human Choice Prediction in Language-based Non-Cooperative Games: Simulation-based Off-Policy Evaluation. CoRR abs/2305.10361 (2023) - [i88]Itai Arieli, Omer Madmon, Moshe Tennenholtz:
Reputation-based Persuasion Platforms. CoRR abs/2305.16694 (2023) - [i87]Omer Madmon, Moshe Tennenholtz:
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents. CoRR abs/2305.16695 (2023) - [i86]Ivan Geffner, Moshe Tennenholtz:
Strengthening Nash Equilibria. CoRR abs/2312.14745 (2023) - [i85]Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
The Value of Mediation in Long Cheap Talk. CoRR abs/2312.14793 (2023) - 2022
- [j83]Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz:
Predicting Decisions in Language Based Persuasion Games. J. Artif. Intell. Res. 73: 1025-1091 (2022) - [j82]Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Designing an Automatic Agent for Repeated Language-based Persuasion Games. Trans. Assoc. Comput. Linguistics 10: 307-324 (2022) - [c165]Ronen Gradwohl, Moshe Tennenholtz:
Pareto-Improving Data-Sharing✱. FAccT 2022: 197-198 - [c164]Ronen Gradwohl, Moshe Tennenholtz:
Coopetition Against an Amazon. SAGT 2022: 347-365 - [c163]Roy Shahmoon, Rann Smorodinsky, Moshe Tennenholtz:
Data Curation from Privacy-Aware Agents. SAGT 2022: 366-382 - [c162]Yotam Gafni, Moshe Tennenholtz:
Long-term Data Sharing under Exclusivity Attacks. EC 2022: 739-759 - [c161]Oren Kurland, Moshe Tennenholtz:
Competitive Search. SIGIR 2022: 2838-2849 - [i84]Yotam Gafni, Moshe Tennenholtz:
Long-term Data Sharing under Exclusivity Attacks. CoRR abs/2201.09137 (2022) - [i83]Amir Ban, Moshe Tennenholtz:
Budget-Constrained Reinforcement of Ranked Objects. CoRR abs/2203.14305 (2022) - [i82]Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz:
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR abs/2205.00445 (2022) - [i81]Ronen Gradwohl, Moshe Tennenholtz:
Pareto-Improving Data-Sharing. CoRR abs/2205.11295 (2022) - [i80]Roy Shahmoon, Rann Smorodinsky, Moshe Tennenholtz:
Data Curation from Privacy-Aware Agents. CoRR abs/2207.06929 (2022) - [i79]Itai Arieli, Ivan Geffner, Moshe Tennenholtz:
Mediated Cheap Talk Design (with proofs). CoRR abs/2211.14670 (2022) - 2021
- [j81]Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz:
Representative Committees of Peers. J. Artif. Intell. Res. 71: 401-429 (2021) - [j80]Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-name Manipulation. J. Artif. Intell. Res. 72: 99-135 (2021) - [c160]Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz:
Protecting the Protected Group: Circumventing Harmful Fairness. AAAI 2021: 5176-5184 - [c159]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Driving the Herd: Search Engines as Content Influencers. CIKM 2021: 586-595 - [c158]Alexander Spiegelman, Idit Keidar, Moshe Tennenholtz:
Game of Coins. ICDCS 2021: 954-964 - [c157]Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham:
PMI-Masking: Principled masking of correlated spans. ICLR 2021 - [c156]Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation. IJCAI 2021: 210-216 - [i78]Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Designing an Automatic Agent for Repeated Language based Persuasion Games. CoRR abs/2105.04976 (2021) - [i77]Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation. CoRR abs/2108.09216 (2021) - [i76]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Driving the Herd: Search Engines as Content Influencers. CoRR abs/2110.11166 (2021) - 2020
- [j79]Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. J. Artif. Intell. Res. 68: 413-445 (2020) - [j78]Gal Bahar, Itai Arieli, Rann Smorodinsky, Moshe Tennenholtz:
Multi-issue social learning. Math. Soc. Sci. 104: 29-39 (2020) - [j77]Moran Feldman, Moshe Tennenholtz, Omri Weinstein:
Distributed Signaling Games. ACM Trans. Economics and Comput. 8(2): 7:1-7:26 (2020) - [c155]Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz:
Designing Committees for Mitigating Biases. AAAI 2020: 1942-1949 - [c154]Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis. AAAI 2020: 1966-1973 - [c153]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Classification. AAAI 2020: 7055-7062 - [c152]Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Fiduciary Bandits. ICML 2020: 518-527 - [c151]Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text (Extended Abstract). IJCAI 2020: 5020-5024 - [c150]Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Content Provider Dynamics and Coordination in Recommendation Ecosystems. NeurIPS 2020 - [c149]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Selection Mechanisms for Forests. EC 2020: 111-131 - [c148]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking-Incentivized Quality Preserving Content Modification. SIGIR 2020: 259-268 - [c147]Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland:
Studying Ranking-Incentivized Web Dynamics. SIGIR 2020: 2093-2096 - [c146]Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses. WWW (Companion Volume) 2020: 552-556 - [i75]Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. CoRR abs/2004.02973 (2020) - [i74]Ronen Gradwohl, Moshe Tennenholtz:
Coopetition Against an Amazon. CoRR abs/2005.10038 (2020) - [i73]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking-Incentivized Quality Preserving Content Modification. CoRR abs/2005.12989 (2020) - [i72]Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland:
Studying Ranking-Incentivized Web Dynamics. CoRR abs/2005.13810 (2020) - [i71]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Selection Mechanisms for Forests. CoRR abs/2006.00600 (2020) - [i70]Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Learning under Invariable Bayesian Safety. CoRR abs/2006.04497 (2020) - [i69]Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz:
Representative Committees of Peers. CoRR abs/2006.07837 (2020) - [i68]Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham:
PMI-Masking: Principled masking of correlated spans. CoRR abs/2010.01825 (2020) - [i67]Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz:
Predicting Decisions in Language Based Persuasion Games. CoRR abs/2012.09966 (2020)
2010 – 2019
- 2019
- [j76]Moshe Tennenholtz, Oren Kurland:
Rethinking search engines and recommendation systems: a game theoretic perspective. Commun. ACM 62(12): 66-75 (2019) - [j75]Omer Ben-Porat, Moshe Tennenholtz:
Multiunit Facility Location Games. Math. Oper. Res. 44(3): 865-889 (2019) - [j74]Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, Moshe Tennenholtz:
Dynamics of Evolving Social Groups. ACM Trans. Economics and Comput. 7(3): 14:1-14:27 (2019) - [c145]Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. AAAI 2019: 1772-1779 - [c144]Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
Convergence of Learning Dynamics in Information Retrieval Games. AAAI 2019: 1780-1787 - [c143]Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz:
Social Learning and the Innkeeper's Challenge. EC 2019: 153-170 - [c142]Omer Ben-Porat, Moshe Tennenholtz:
Regression Equilibrium. EC 2019: 173-191 - [c141]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Sequential Voting with Confirmation Network. TARK 2019: 19-34 - [i66]Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev:
Predicting human decisions with behavioral theories and machine learning. CoRR abs/1904.06866 (2019) - [i65]Omer Ben-Porat, Moshe Tennenholtz:
Regression Equilibrium. CoRR abs/1905.02576 (2019) - [i64]Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz:
Fiduciary Bandits. CoRR abs/1905.07043 (2019) - [i63]Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz:
Protecting the Protected Group: Circumventing Harmful Fairness. CoRR abs/1905.10546 (2019) - [i62]Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, Elad Yom-Tov:
Privacy, altruism, and experience: Estimating the perceived value of Internet data for medical uses. CoRR abs/1906.08562 (2019) - [i61]Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
VCG Under Sybil (False-name) Attacks - a Bayesian Analysis. CoRR abs/1911.07210 (2019) - [i60]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Classification. CoRR abs/1911.08849 (2019) - 2018
- [j73]Reshef Meir, Gil Kalai, Moshe Tennenholtz:
Bidding games and efficient allocations. Games Econ. Behav. 112: 166-193 (2018) - [j72]Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz:
Segmentation, Incentives, and Privacy. Math. Oper. Res. 43(4): 1252-1268 (2018) - [c140]Omer Ben-Porat, Moshe Tennenholtz:
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. NeurIPS 2018: 1118-1128 - [c139]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking Robustness Under Adversarial Document Manipulations. SIGIR 2018: 395-404 - [c138]Reut Apel, Elad Yom-Tov, Moshe Tennenholtz:
Characterizing Efficient Referrals in Social Networks. WWW (Companion Volume) 2018: 23-24 - [c137]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Diffusion. WWW 2018: 1379-1388 - [i59]Reut Apel, Elad Yom-Tov, Moshe Tennenholtz:
Characterizing Efficient Referrals in Social Networks. CoRR abs/1805.00252 (2018) - [i58]Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Incentive-Compatible Diffusion. CoRR abs/1805.08013 (2018) - [i57]Alexander Spiegelman, Idit Keidar, Moshe Tennenholtz:
Game of Coins. CoRR abs/1805.08979 (2018) - [i56]Omer Ben-Porat, Moshe Tennenholtz:
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. CoRR abs/1806.00955 (2018) - [i55]Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz:
Segmentation, Incentives and Privacy. CoRR abs/1806.00966 (2018) - [i54]Omer Ben-Porat, Moshe Tennenholtz:
Competing Prediction Algorithms. CoRR abs/1806.01703 (2018) - [i53]Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking Robustness Under Adversarial Document Manipulations. CoRR abs/1806.04425 (2018) - [i52]Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz:
A Game Theoretic Approach to Learning and Dynamics in Information Retrieval. CoRR abs/1806.05359 (2018) - [i51]Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz:
Recommendation Systems and Self Motivated Users. CoRR abs/1807.01732 (2018) - [i50]Oren Dean, Yakov Babichenko, Moshe Tennenholtz:
Paradoxes in Sequential Voting. CoRR abs/1807.03979 (2018) - [i49]Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz:
From Recommendation Systems to Facility Location Games. CoRR abs/1809.02931 (2018) - 2017
- [j71]Noga Alon, Moran Feldman, Moshe Tennenholtz:
Revenue and Reserve Prices in a Probabilistic Single Item Auction. Algorithmica 77(1): 1-15 (2017) - [j70]Uriel Feige, Moshe Tennenholtz:
Optimization with Uniform Size Queries. Algorithmica 78(1): 255-273 (2017) - [j69]Itai Arieli, Yakov Babichenko, Moshe Tennenholtz:
Sequential commitment games. Games Econ. Behav. 105: 297-315 (2017) - [j68]Ran Ben-Basat, Moshe Tennenholtz, Oren Kurland:
A Game Theoretic Analysis of the Adversarial Retrieval Setting. J. Artif. Intell. Res. 60: 1127-1164 (2017) - [j67]Uriel Feige, Tomer Koren, Moshe Tennenholtz:
Chasing Ghosts: Competing with Stateful Policies. SIAM J. Comput. 46(1): 190-223 (2017) - [c136]Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz:
Psychological Forest: Predicting Human Behavior. AAAI 2017: 656-662 - [c135]Erez Karpas, Alexander Shleyfman, Moshe Tennenholtz:
Automated Verification of Social Law Robustness in STRIPS. ICAPS 2017: 163-171 - [c134]Omer Ben-Porat, Moshe Tennenholtz:
Best Response Regression. NIPS 2017: 1499-1508 - [c133]Nimrod Raifer, Fiana Raiber, Moshe Tennenholtz, Oren Kurland:
Information Retrieval Meets Game Theory: The Ranking Competition Between Documents? Authors. SIGIR 2017: 465-474 - [c132]Omer Ben-Porat, Moshe Tennenholtz:
Shapley Facility Location Games. WINE 2017: 58-73 - [c131]Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat:
ERA: A Framework for Economic Resource Allocation for the Cloud. WWW (Companion Volume) 2017: 635-642 - [c130]Omer Lev, Moshe Tennenholtz:
Group Recommendations: Axioms, Impossibilities, and Random Walks. TARK 2017: 382-397 - [i48]Moshe Babaioff, Yishay Mansour, Noam Nisan, Gali Noti, Carlo Curino, Nar Ganapathy, Ishai Menache, Omer Reingold, Moshe Tennenholtz, Erez Timnat:
ERA: A Framework for Economic Resource Allocation for the Cloud. CoRR abs/1702.07311 (2017) - [i47]Omer Ben-Porat, Moshe Tennenholtz:
Shapley Facility Location Games. CoRR abs/1709.10278 (2017) - 2016
- [j66]Moshe Babaioff, Moran Feldman, Moshe Tennenholtz:
Mechanism Design with Strategic Mediators. ACM Trans. Economics and Comput. 4(2): 7:1-7:48 (2016) - [c129]Moran Feldman, Moshe Tennenholtz, Omri Weinstein:
Distributed Signaling Games. ESA 2016: 41:1-41:16 - [c128]Yannai A. Gonczarowski, Moshe Tennenholtz:
A Hydraulic Approach to Equilibria of Resource Selection Games. EC 2016: 477 - [c127]Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, Moshe Tennenholtz:
Dynamics of Evolving Social Groups. EC 2016: 637-654 - [c126]Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz:
Economic Recommendation Systems: One Page Abstract. EC 2016: 757 - [c125]