Publications – Mechanism Design for Data Science

2023

Content-Based Relevance Estimation in Retrieval Settings with
Ranking-Incentivized Document Manipulations. Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz and Fiana Raiber. Accepted to the 13th International Conference on the Theory of Information Retrieval (ICTIR-23).
Reputation-based Persuasion Platforms. Itai Arieli, Omer Madmon, and Moshe Tennenholtz. Accepted as an extended abstract to the 16th International Symposium on Algorithmic Game Theory (SAGT-23).
Optimal Mechanism Design for Agents with DSL Strategies: The Case of Sybil Attacks in Combinatorial Auctions. Yotam Gafni, and Moshe Tennenholtz. Accepted to the Nineteenth Conference on Theoretical Aspects of Rationality and Knowledge (TARK-23).
Selling Data to a Competitor. Ronen Gradwohl, and Moshe Tennenholtz. Accepted to the Nineteenth Conference on Theoretical Aspects of Rationality and Knowledge (TARK-23).
Resilient Information Aggregation. Itai Arieli, Ivan Geffner, and Moshe Tennenholtz. Accepted to the Nineteenth Conference on Theoretical Aspects of Rationality and Knowledge (TARK-23).
Mediated Cheap Talk Design. Itai Arieli, Ivan Geffner, and Moshe Tennenholtz. Accepted to the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23).

2022

Coopetition Against an Amazon. Ronen Gradwohl, and Moshe Tennenholtz. Accepted to the 15th International Symposium on Algorithmic Game Theory (SAGT-22).
Data Curation from Privacy-Aware Agents. Roy Shahmoon, Ran Smorodinsky, and Moshe Tennenholtz. Accepted to the 15th International Symposium on Algorithmic Game Theory (SAGT-22).
Long-term Data Sharing under Exclusivity Attacks. Yotam Gafni, and Moshe Tennenholtz. Accepted to the 23rd ACM Conference on Economics and Computation (EC-22). [arxiv version]
Pareto-Improving Data Sharing. Ronen Gradwohl, and Moshe Tennenholtz. Accepted to the 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT-22). [arxiv version]
Competitive Search. Oren Kurland, and Moshe Tennenholtz. Accepted to the 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-22).
Predicting Decisions in Language Based Persuasion Games. Reut Apel, Ido Erev, Roi Reichart, and Moshe Tennenholtz. Accepted to Journal of Artificial Intelligence Research (JAIR). [arxiv version] [Code and data: github]
Designing an Automatic Agent for Repeated Language-based Persuasion Games. Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, and Roi Reichart. Accepted to Transactions of the Association for Computational Lingustics (TACL). [arxiv version]

2021

Driving the Herd: Search Engines as Content Influencers. Gregory Goren, Oren Kurland, Moshe Tennenholtz, and Fiana Raiber. Accepted to the 30th ACM International Conference on Information and Knowledge Management (CIKM-21).
Multi-Issue Social Learning. Gal Bahar, Itai Arieli, Rann Smorodinsky, and Moshe Tennenholtz. Accepted to “Mathematical Social Sciences”.
Distributed Signaling Games. Moran Feldman, Moshe Tennenholtz, and Omri Weinstein. Accepted to “ACM Transactions on Economics and Computation” (TEAC).
Protecting the Protected Group: Circumventing Harmful Fairness. Omer Ben-Porat, Fedor Sandomirskiy, and Moshe Tennenholtz. Accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). (Arxiv version)
Game of Coins. Alexander Spiegelman, Idit Keidar, Moshe Tennenholtz. Accepted to the 41st IEEE International Conference on Distributed Computing Systems (ICDCS 2021).
Paradoxes in Sequential Voting Yakov Babichenko and Oren Dean and Moshe Tennenholtz. Submitted.
Representative Comittees of Peers Fedor Sandomirskiy, Reshef Meir and Moshe Tennenholtz. Accepted to Journal of Artificial Intelligence Research (JAIR).
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation Yotam Gafni, Ron Lavi and Moshe Tennenholtz. Accepted to the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Journal of Artificial Intelligence Research (JAIR).

2020

Content Provider Dynamics and Coordination in Recommendation Ecosystems Omer Ben-Porat, Itay Rosenberg and Moshe Tennenholtz. The Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020).
Fiduciary Bandits. Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown, and Moshe Tennenholtz. The Thirty-seventh International Conference on Machine Learning (ICML 2020).
Incentive-Compatible Selection Mechanisms for Forests. Yakov Babichenko, Oren Dean, and Moshe Tennenholtz. The Twenty-First ACM Conference on Economics and Computation (EC’20).
Predicting Strategic Behavior from Free Text. Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, and Moshe Tennenholtz. Journal of Artificial Intelligence Research (JAIR), 2020. (Arxiv version)
Studying Ranking-Incentivized Web Dynamics. Ziv Vasilisky, Oren Kurland, and Moshe Tennenholtz. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20). (Arxiv version)
Ranking-Incentivized Quality Preserving Content Modification. Gregory Goren, Oren Kurland, Moshe Tennenholtz, and Fiana Raiber. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’20). (Arxiv version)
Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses. Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz, and Elad Yom-Tov. The Web Conference 2020 Workshop on Innovative Ideas in Data Science. (Arxiv version)
Incentive-Compatible Classification. Yakov Babichenko, Oren Dean, and Moshe Tennenholtz. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (Arxiv version)
VCG Under Sybil (False-name) Attacks – a Bayesian Analysis. Yotam Gafni, Ron Lavi, and Moshe Tennenholtz. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (Arxiv version)
Designing Committees for Mitigating Biases. Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, and Moshe Tennenholtz. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (Conference version)

2019

Dynamics of Evolving Social Groups. Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, and Moshe Tenneholtz. ACM Transactions on Economics and Computation (TEAC). (Arxiv version).
Rethinking Search Engines and Recommendation Systems: A Game Theoretic Perspective. Oren Kurland and Moshe Tennenholtz. Communications of the ACM (CACM).
Sequential Voting with Confirmation Network. Yakov Babichenko and Oren Dean and Moshe Tennenholtz. Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge (TARK 2019). (Arxiv version)
Social Learning and the Innkeeper Challenge. Gal Bahar, Rann Smorodinsky and Moshe Tennenholtz. The Twentieth ACM conference on Economics and Computation (EC 19).
Regression Equilibrium. Omer Ben-Porat and Moshe Tennenholtz. The twentieth ACM conference on Economics and Computation (EC 19). (Arxiv version)
Multi-unit Facility Location Games. Omer Ben Porat and Moshe Tennenholtz. Mathematics of Operations Research. (Arxiv version)
Convergence of Learning Dynamics in Information Retrieval Games. Omer Ben-Porat, Itay Rosenberg and Moshe Tennenholtz. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 19).
From Recommendation Systems to Facility Location Games. Omer Ben-Porat, Gregory Goren, Itay Rosenberg and Moshe Tennenholtz. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 19).

2018

Segmentation, Incentives, and Privacy. Kobbi Nissim, Rann Smorodinsky and Moshe Tennenholtz. Mathematics of Operations Research. (Arxiv version)
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers. Omer Ben-Porat and Moshe Tennenholtz. Neural Information Processing Systems (NIPS) 2018. (Full version)
Bidding Games and Efficient Allocations. Reshef Meir, Gil Kalai, and Moshe Tennenholtz. Games and Economic Behavior (GEB) 2018.
Ranking Robustness Under Adversarial Document Manipulations. Gregory Goren, Fiana Raiber, Moshe Tennenholtz, and Oren Kurland. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2018.
Incentive-Compatible Diffusion. Yakov Babichenko, Oren Dean and Moshe Tennenholtz. Proceedings of the 2018 World Wide Web Conference (WWW) 2018.
Characterizing Efficient Referrals in Social Networks. Reut Apel, Elad Yom-Tov and Moshe Tennenholtz. The Web Conference (WWW ) 2018.

2017

A Game Theoretic Analysis of the Adversarial Retrieval Setting. Ran Ben-Basat, Moshe Tennenholtz, Oren Kurland. Journal of Artificial Intelligence Research (JAIR) 2017.
Best Response Regression. Omer Ben-Porat and Moshe Tennenholtz. Neural Information Processing Systems (NIPS) 2017.
Shapley Facility Location Games. Omer Ben-Porat and Moshe Tennenholtz. International Conference on Web and Internet Economics (WINE) 2017.