Tennenholtz, Moshe

88 publications

ICLRW 2025 Can LLMs Replace Economic Choice Prediction Labs? the Case of Language-Based Persuasion Games Eilam Shapira, Omer Madmon, Roi Reichart, Moshe Tennenholtz

NeurIPS 2025 Fairness Under Competition Ronen Gradwohl, Eilam Shapira, Moshe Tennenholtz

ICLR 2025 On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz

AAAI 2025 On the Power of Strategic Corpus Enrichment in Content Creation Games Haya Nachimovsky, Moshe Tennenholtz

JAIR 2025 The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz

NeurIPSW 2024 Predicting Human Decisions with Behavioral Theories and Machine Learning Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart Russell, Evan Carter, James F. Cavanagh, Ido Erev

ICML 2024 STEER: Assessing the Economic Rationality of Large Language Models Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz

JAIR 2023 Coopetition Against an Amazon Ronen Gradwohl, Moshe Tennenholtz

AAAI 2023 Mediated Cheap Talk Design Itai Arieli, Ivan Geffner, Moshe Tennenholtz

JAIR 2022 Predicting Decisions in Language Based Persuasion Games Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz

ICLR 2021 PMI-Masking: Principled Masking of Correlated Spans Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham

AAAI 2021 Protecting the Protected Group: Circumventing Harmful Fairness Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz

JAIR 2021 Representative Committees of Peers Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz

IJCAI 2021 Worst-Case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-Name Manipulation Yotam Gafni, Ron Lavi, Moshe Tennenholtz

JAIR 2021 Worst-Case Bounds on Power vs. Proportion in Weighted Voting Games with an Application to False-Name Manipulation Yotam Gafni, Ron Lavi, Moshe Tennenholtz

NeurIPS 2020 Content Provider Dynamics and Coordination in Recommendation Ecosystems Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz

AAAI 2020 Designing Committees for Mitigating Biases Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, Moshe Tennenholtz

ICML 2020 Fiduciary Bandits Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, Moshe Tennenholtz

AAAI 2020 Incentive-Compatible Classification Yakov Babichenko, Oren Dean, Moshe Tennenholtz

JAIR 2020 Predicting Strategic Behavior from Free Text Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz

IJCAI 2020 Predicting Strategic Behavior from Free Text (Extended Abstract) Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz

AAAI 2020 VCG Under Sybil (False-Name) Attacks - A Bayesian Analysis Yotam Gafni, Ron Lavi, Moshe Tennenholtz

AAAI 2019 Convergence of Learning Dynamics in Information Retrieval Games Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz

AAAI 2019 From Recommendation Systems to Facility Location Games Omer Ben-Porat, Gregory Goren, Itay Rosenberg, Moshe Tennenholtz

NeurIPS 2018 A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers Omer Ben-Porat, Moshe Tennenholtz

JAIR 2017 A Game Theoretic Analysis of the Adversarial Retrieval Setting Ran Ben-Basat, Moshe Tennenholtz, Oren Kurland

NeurIPS 2017 Best Response Regression Omer Ben-Porat, Moshe Tennenholtz

AAAI 2017 Psychological Forest: Predicting Human Behavior Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz

IJCAI 2015 How Robust Is the Wisdom of the Crowds? Noga Alon, Michal Feldman, Omer Lev, Moshe Tennenholtz

AAAI 2013 Bundling Attacks in Judgment Aggregation Noga Alon, Dvir Falik, Reshef Meir, Moshe Tennenholtz

AAAI 2013 Data-Parallel Computing Meets STRIPS Erez Karpas, Tomer Sagi, Carmel Domshlak, Avigdor Gal, Avi Mendelson, Moshe Tennenholtz

AAAI 2013 Equilibria of Online Scheduling Algorithms Itai Ashlagi, Brendan Lucier, Moshe Tennenholtz

AAAI 2013 On the Value of Using Group Discounts Under Price Competition Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier

UAI 2013 Pay or Play Sigal Oren, Michael Schapira, Moshe Tennenholtz

AAAI 2013 Posted Prices Exchange for Display Advertising Contracts Yagil Engel, Moshe Tennenholtz

AAAI 2013 The Cascade Auction - A Mechanism for Deterring Collusion in Auctions Uriel Feige, Gil Kalai, Moshe Tennenholtz

AAAI 2012 Congestion Games with Agent Failures Reshef Meir, Moshe Tennenholtz, Yoram Bachrach, Peter B. Key

UAI 2011 Solving Cooperative Reliability Games Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz

AAAI 2010 Competing Schedulers Itai Ashlagi, Moshe Tennenholtz, Aviv Zohar

AAAI 2010 Transferable Utility Planning Games Ronen I. Brafman, Carmel Domshlak, Yagil Engel, Moshe Tennenholtz

IJCAI 2009 Nonmanipulable Selections from a Tournament Alon Altman, Ariel D. Procaccia, Moshe Tennenholtz

IJCAI 2009 Planning Games Ronen I. Brafman, Carmel Domshlak, Yagil Engel, Moshe Tennenholtz

JAIR 2008 Axiomatic Foundations for Ranking Systems Alon Altman, Moshe Tennenholtz

JAIR 2008 On the Value of Correlation Itai Ashlagi, Dov Monderer, Moshe Tennenholtz

AAAI 2007 A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs Roy Fox, Moshe Tennenholtz

IJCAI 2007 An Axiomatic Approach to Personalized Ranking Systems Alon Altman, Moshe Tennenholtz

AAAI 2007 Learning Equilibrium in Resource Selection Games Itai Ashlagi, Dov Monderer, Moshe Tennenholtz

IJCAI 2007 Routing Mediators Ola Rozenfeld, Moshe Tennenholtz

ECML-PKDD 2006 Learning in One-Shot Strategic Form Games Alon Altman, Avivit Bercovici-Boden, Moshe Tennenholtz

AAAI 2006 Quantifying Incentive Compatibility of Ranking Systems Alon Altman, Moshe Tennenholtz

UAI 2006 Robust Learning Equilibrium Itai Ashlagi, Moshe Tennenholtz, Dov Monderer

AAAI 2006 Strong Mediated Equilibrium Dov Monderer, Moshe Tennenholtz

IJCAI 2005 On the Axiomatic Foundations of Ranking Systems Alon Altman, Moshe Tennenholtz

UAI 2005 On the Value of Correlation Itai Ashlagi, Dov Monderer, Moshe Tennenholtz

AAAI 2005 Optimal Efficient Learning Equilibrium: Imperfect Monitoring in Symmetric Games Ronen I. Brafman, Moshe Tennenholtz

IJCAI 2005 Sequential-Simultaneous Information Elicitation in Multi-Agent Systems Gal Bahar, Moshe Tennenholtz

JAIR 2004 K-Implementation Dov Monderer, Moshe Tennenholtz

UAI 2004 Reputation Systems: An Axiomatic Approach Moshe Tennenholtz

UAI 2004 Sequential Information Elicitation in Multi-Agent Systems Rann Smorodinsky, Moshe Tennenholtz

JAIR 2003 Learning to Coordinate Efficiently: A Model-Based Approach Ronen I. Brafman, Moshe Tennenholtz

IJCAI 2003 Local-Effect Games Kevin Leyton-Brown, Moshe Tennenholtz

AAAI 2002 Bidding Clubs in First-Price Auctions Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz

AAAI 2002 Competitive Safety Analysis Moshe Tennenholtz

JAIR 2002 Competitive Safety Analysis: Robust Decision-Making in Multi-Agent Systems Moshe Tennenholtz

NeurIPS 2002 Efficient Learning Equilibrium Ronen I. Brafman, Moshe Tennenholtz

UAI 2002 Mechanism Design with Execution Uncertainty Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz

JMLR 2002 R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning Ronen I. Brafman, Moshe Tennenholtz

IJCAI 2001 Fair Imposition Yoav Shoham, Moshe Tennenholtz

IJCAI 2001 R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning Ronen I. Brafman, Moshe Tennenholtz

IJCAI 2001 Rational Competitive Analysis Moshe Tennenholtz

AAAI 2000 An Algorithm for Multi-Unit Combinatorial Auctions Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz

AAAI 2000 Some Tractable Combinatorial Auctions Moshe Tennenholtz

IJCAI 1999 A Near-Optimal Poly-Time Algorithm for Learning a Class of Stochastic Games Ronen I. Brafman, Moshe Tennenholtz

AAAI 1999 Distributed Games: From Mechanisms to Protocols Dov Monderer, Moshe Tennenholtz

IJCAI 1999 Electronic Commerce: From Economic and Game-Theoretic Models to Working Protocols Moshe Tennenholtz

AAAI 1998 Minimal Social Laws David Fitoussi, Moshe Tennenholtz

AAAI 1998 Optimal Auctions Revisited Dov Monderer, Moshe Tennenholtz

JAIR 1997 Dynamic Non-Bayesian Decision Making Dov Monderer, Moshe Tennenholtz

UAI 1997 On Stable Multi-Agent Behavior in Face of Uncertainty Moshe Tennenholtz

AAAI 1997 On the Axiomatization of Qualitative Decision Criteria Ronen I. Brafman, Moshe Tennenholtz

JAIR 1996 On Partially Controlled Multi-Agent Systems Ronen I. Brafman, Moshe Tennenholtz

AAAI 1996 On the Foundations of Qualitative Decision Theory Ronen I. Brafman, Moshe Tennenholtz

JAIR 1995 Adaptive Load Balancing: A Study in Multi-Agent Learning Andrea Schaerf, Yoav Shoham, Moshe Tennenholtz

IJCAI 1995 Towards Action Prediction Using a Mental-Level Model Ronen I. Brafman, Moshe Tennenholtz

JAIR 1994 On Planning While Learning Shmuel Safra, Moshe Tennenholtz

IJCAI 1993 Off-Line Reasoning for On-Line Efficiency Yoram Moses, Moshe Tennenholtz

AAAI 1992 On the Synthesis of Useful Social Laws for Artificial Agent Societies (Preliminary Report) Yoav Shoham, Moshe Tennenholtz

IJCAI 1989 On Cooperation in a Multi-Entity Model Moshe Tennenholtz, Yoram Moses