Moshe Tennenholtz

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 124

Top Venues

CoRR

AAAI

J. Artif. Intell. Res.

Publications

Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions. CoRR (2024)
Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland
Competitive Retrieval: Going Beyond the Single Query. CoRR (2024)
Tommy Mordo, Moshe Tennenholtz, Oren Kurland
Sponsored Question Answering. CoRR (2024)
Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models. CoRR (2024)
Eilam Shapira, Omer Madmon, Roi Reichart, Moshe Tennenholtz
Can Large Language Models Replace Economic Choice Prediction Labs? CoRR (2024)
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
Receiver-Oriented Cheap Talk Design. CoRR (2024)
Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland
Ranking-Incentivized Document Manipulations for Multiple Queries. ICTIR (2024)
Yotam Gafni, Ronen Gradwohl, Moshe Tennenholtz
Prediction-sharing During Training and Inference. CoRR (2024)
Tommy Mordo, Moshe Tennenholtz, Oren Kurland
Sponsored Question Answering. ICTIR (2024)
Itai Arieli, Yakov Babichenko, Omer Madmon, Moshe Tennenholtz
Robust Price Discrimination. CoRR (2024)
Itai Arieli, Omer Madmon, Moshe Tennenholtz
Reputation-based persuasion platforms. Games Econ. Behav. 147 (2024)
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
Mediated Cheap Talk Design. AAAI (2023)
Omer Madmon, Moshe Tennenholtz
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents. CoRR (2023)
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
The Value of Mediation in Long Cheap Talk. CoRR (2023)
Ronen Gradwohl, Moshe Tennenholtz
Selling Data to a Competitor. CoRR (2023)
Yotam Gafni, Moshe Tennenholtz
Optimal Mechanism Design for Agents with DSL Strategies: The Case of Sybil Attacks in Combinatorial Auctions. TARK (2023)
Ronen Gradwohl, Moshe Tennenholtz
Coopetition Against an Amazon. J. Artif. Intell. Res. 76 (2023)
Ronen Gradwohl, Moshe Tennenholtz
Selling Data to a Competitor (Extended Abstract). TARK (2023)
Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations. ICTIR (2023)
Ivan Geffner, Moshe Tennenholtz
Strengthening Nash Equilibria. CoRR (2023)
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
Resilient Information Aggregation. TARK (2023)
Itai Arieli, Omer Madmon, Moshe Tennenholtz
Reputation-based Persuasion Platforms. CoRR (2023)
Eilam Shapira, Reut Apel, Moshe Tennenholtz, Roi Reichart
Human Choice Prediction in Non-Cooperative Games: Simulation-based Off-Policy Evaluation. CoRR (2023)
Yotam Gafni, Moshe Tennenholtz
Long-term Data Sharing under Exclusivity Attacks. EC (2022)
Yotam Gafni, Moshe Tennenholtz
Long-term Data Sharing under Exclusivity Attacks. CoRR (2022)
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 (2022)
Oren Kurland, Moshe Tennenholtz
Competitive Search. SIGIR (2022)
Ronen Gradwohl, Moshe Tennenholtz
Pareto-Improving Data-Sharing✱. FAccT (2022)
Roy Shahmoon, Rann Smorodinsky, Moshe Tennenholtz
Data Curation from Privacy-Aware Agents. SAGT (2022)
Ronen Gradwohl, Moshe Tennenholtz
Coopetition Against an Amazon. SAGT (2022)
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
Mediated Cheap Talk Design (with proofs). CoRR (2022)
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 (2022)
Roy Shahmoon, Rann Smorodinsky, Moshe Tennenholtz
Data Curation from Privacy-Aware Agents. CoRR (2022)
Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz
Predicting Decisions in Language Based Persuasion Games. J. Artif. Intell. Res. 73 (2022)
Ronen Gradwohl, Moshe Tennenholtz
Pareto-Improving Data-Sharing. CoRR (2022)
Amir Ban, Moshe Tennenholtz
Budget-Constrained Reinforcement of Ranked Objects. CoRR (2022)
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Driving the Herd: Search Engines as Content Influencers. CIKM (2021)
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Driving the Herd: Search Engines as Content Influencers. CoRR (2021)
Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz
Protecting the Protected Group: Circumventing Harmful Fairness. AAAI (2021)
Alexander Spiegelman, Idit Keidat, Moshe Tennenholtz
Game of Coins. ICDCS (2021)
Yotam Gafni, Ron Lavi, Moshe Tennenholtz
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation. CoRR (2021)
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
PMI-Masking: Principled masking of correlated spans. ICLR (2021)
Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart
Designing an Automatic Agent for Repeated Language based Persuasion Games. CoRR (2021)
Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz
Representative Committees of Peers. J. Artif. Intell. Res. 71 (2021)
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 (2021)
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)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentive-Compatible Selection Mechanisms for Forests. CoRR (2020)
Ronen Gradwohl, Moshe Tennenholtz
Coopetition Against an Amazon. CoRR (2020)
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Ranking-Incentivized Quality Preserving Content Modification. SIGIR (2020)
Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Content Provider Dynamics and Coordination in Recommendation Ecosystems. NeurIPS (2020)
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
Learning under Invariable Bayesian Safety. CoRR (2020)
Gal Bahar, Itai Arieli, Rann Smorodinsky, Moshe Tennenholtz
Multi-issue social learning. Math. Soc. Sci. 104 (2020)
Moran Feldman, Moshe Tennenholtz, Omri Weinstein
Distributed Signaling Games. ACM Trans. Economics and Comput. 8 (2) (2020)
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
PMI-Masking: Principled masking of correlated spans. CoRR (2020)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentive-Compatible Classification. AAAI (2020)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentive-Compatible Selection Mechanisms for Forests. EC (2020)
Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland
Studying Ranking-Incentivized Web Dynamics. CoRR (2020)
Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz
Designing Committees for Mitigating Biases. AAAI (2020)
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)
Yotam Gafni, Ron Lavi, Moshe Tennenholtz
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis. AAAI (2020)
Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz
Predicting Strategic Behavior from Free Text. J. Artif. Intell. Res. 68 (2020)
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Ranking-Incentivized Quality Preserving Content Modification. CoRR (2020)
Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz
Predicting Decisions in Language Based Persuasion Games. CoRR (2020)
Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz
Representative Committees of Peers. CoRR (2020)
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
Fiduciary Bandits. ICML (2020)
Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz
Predicting Strategic Behavior from Free Text (Extended Abstract). IJCAI (2020)
Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland
Studying Ranking-Incentivized Web Dynamics. SIGIR (2020)
Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz
Predicting Strategic Behavior from Free Text. CoRR (2020)
Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz
Protecting the Protected Group: Circumventing Harmful Fairness. CoRR (2019)
Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz
Social Learning and the Innkeeper's Challenge. EC (2019)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentive-Compatible Classification. CoRR (2019)
Omer Ben-Porat, Moshe Tennenholtz
Regression Equilibrium. CoRR (2019)
Omer Ben-Porat, Moshe Tennenholtz
Regression Equilibrium. EC (2019)
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz
Fiduciary Bandits. CoRR (2019)
Moshe Tennenholtz, Oren Kurland
Rethinking search engines and recommendation systems: a game theoretic perspective. Commun. ACM 62 (12) (2019)
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 (2019)
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 (2019)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Sequential Voting with Confirmation Network. TARK (2019)
Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz
From Recommendation Systems to Facility Location Games. AAAI (2019)
Yotam Gafni, Ron Lavi, Moshe Tennenholtz
VCG Under Sybil (False-name) Attacks - a Bayesian Analysis. CoRR (2019)
Omer Ben-Porat, Moshe Tennenholtz
Multiunit Facility Location Games. Math. Oper. Res. 44 (3) (2019)
Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, Moshe Tennenholtz
Dynamics of Evolving Social Groups. ACM Trans. Economics and Comput. 7 (3) (2019)
Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Convergence of Learning Dynamics in Information Retrieval Games. AAAI (2019)
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Ranking Robustness Under Adversarial Document Manipulations. CoRR (2018)
Omer Ben-Porat, Moshe Tennenholtz
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. CoRR (2018)
Reut Apel, Elad Yom-Tov, Moshe Tennenholtz
Characterizing Efficient Referrals in Social Networks. CoRR (2018)
Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
Segmentation, Incentives, and Privacy. Math. Oper. Res. 43 (4) (2018)
Omer Ben-Porat, Moshe Tennenholtz
Competing Prediction Algorithms. CoRR (2018)
Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz
From Recommendation Systems to Facility Location Games. CoRR (2018)
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Ranking Robustness Under Adversarial Document Manipulations. SIGIR (2018)
Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
A Game Theoretic Approach to Learning and Dynamics in Information Retrieval. CoRR (2018)
Oren Dean, Yakov Babichenko, Moshe Tennenholtz
Paradoxes in Sequential Voting. CoRR (2018)
Reshef Meir, Gil Kalai, Moshe Tennenholtz
Bidding games and efficient allocations. Games Econ. Behav. 112 (2018)
Alexander Spiegelman, Idit Keidar, Moshe Tennenholtz
Game of Coins. CoRR (2018)
Reut Apel, Elad Yom-Tov, Moshe Tennenholtz
Characterizing Efficient Referrals in Social Networks. WWW (Companion Volume) (2018)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentive-Compatible Diffusion. CoRR (2018)
Omer Ben-Porat, Moshe Tennenholtz
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. NeurIPS (2018)
Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz
Recommendation Systems and Self Motivated Users. CoRR (2018)
Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
Segmentation, Incentives and Privacy. CoRR (2018)
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentive-Compatible Diffusion. WWW (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Moshe Tennenholtz