Mechanism Design for Data Science

Informations projet

MDDS

N° de convention de subvention: 740435

DOI

10.3030/740435

Projet clôturé

Date de signature de la CE 8 Mai 2017

Date de début 1 Juillet 2017

Date de fin 30 Juin 2022

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total

€ 2 493 705,00

Contribution de l’UE

€ 2 493 705,00

Coordonné par

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Publications

Book chapters (5)

Pareto-Improving Data-Sharing

Auteurs: Ronen Gradwohl Moshe Tennenholtz
Publié dans: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Numéro 197-198, 2022, ISBN 978-1-4503-9352-2
Éditeur: ACM DL
DOI: 10.1145/3531146.3533085

Predicting Strategic Behavior from Free Text

Auteurs: Omer Ben-Porat Sharon Hirsch Lital Kuchy Guy Elad Roi Reichart Moshe Tennenholtz
Publié dans: JAIR, 2020, Page(s) 413-445
Éditeur: JAIR
DOI: 10.1613/jair.1.11849

Coopetition Against an Amazon

Auteurs: Ronen Gradwoh, Moshe Tennenholtz
Publié dans: SAGT 2022: Algorithmic Game Theory, 2022, Page(s) 347–365
Éditeur: SPRINGER LINK
DOI: 10.1007/978-3-031-15714-1_20

On Social Networks that Support Learning

Auteurs: ITAI ARIELI, Technion, Israel FEDOR SANDOMIRSKIY, Technion, Israel and Higher School of Economics, Russia RANN SMORODINSKY
Publié dans: 2020
Éditeur: arXiv.org
DOI: 10.48550/arxiv.2011.05255

Shapley Facility Location Games

Auteurs: Omer Ben-Porat, Moshe Tennenholtz
Publié dans: Web and Internet Economics, Numéro 10660, 2017, Page(s) 58-73, ISBN 978-3-319-71923-8
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-71924-5_5

Conference proceedings (38)

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

Auteurs: Moshe Tennenholtz; Gilie Gefen; Omer Ben-Porat; Elad Yom-Tov
Publié dans: The Web Conference 2020, 2020
Éditeur: The Web Conference 2020
DOI: 10.1145/3366424.3383414

Long-term Data Sharing under Exclusivity Attacks

Auteurs: Yotam Gafni; Moshe Tennenholtz
Publié dans: 2022
Éditeur: PUBLICATION HISTORY
DOI: 10.48550/arxiv.2201.09137

Sponsored Question Answering

Auteurs: Tommy Mordo, Moshe Tennenholtz, Oren Kurland
Publié dans: 2024
Éditeur: 14th International Conference on the Theory of Information Retrieval

Protecting the Protected Group: Circumventing Harmful Fairness

Auteurs: Ben-Porat, Omer; Sandomirskiy, Fedor; Tennenholtz, Moshe
Publié dans: Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Éditeur: Thirty-Fifth AAAI Conference on Artificial Intelligence
DOI: 10.1609/aaai.v35i6.16654

Studying Ranking-Incentivized Web Dynamics

Auteurs: Moshe Tennenholtz; Ziv Vasilisky; Oren Kurland
Publié dans: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Éditeur: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3397271.3401300

Selling Data to a Competitor

Auteurs: Ronen Gradwohl, Moshe Tennenholtz
Publié dans: 2023
Éditeur: arXiv.org
DOI: 10.48550/arxiv.2302.00285

Predicting human decisions with behavioral theories and machine learning

Auteurs: 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
Publié dans: Artificial Intelligence, 2019
Éditeur: arXiv.org
DOI: 10.48550/arxiv.1904.06866

Mediated Cheap Talk Design (with proofs)

Auteurs: Arieli, Itai; Geffner, Ivan; Tennenholtz, Moshe
Publié dans: Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Éditeur: Thirty-Seventh AAAI Conference on Artificial Intelligence
DOI: 10.48550/arxiv.2211.14670

Incentive-Compatible Classification

Auteurs: Moshe Tennenholtz; Yakov Babichenko; Oren Dean
Publié dans: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Éditeur: The Thirty-Fourth AAAI Conference on Artificial Intelligence
DOI: 10.1609/aaai.v34i05.6191

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

Auteurs: Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz and Fiana Raiber
Publié dans: 13th International Conference on the Theory of Information Retrieval, 2023
Éditeur: 13th International Conference on the Theory of Information Retrieval
DOI: 10.1145/3578337.3605124

Connecting the Dots: Loss Aversion, Sybil Attacks, and Welfare Maximization

Auteurs: Yotam Gafni, Moshe Tennenholtz
Publié dans: 2022
Éditeur: arXiv.org
DOI: 10.48550/arxiv.2210.15181

Incentive-Compatible Selection Mechanisms for Forests

Auteurs: Moshe Tennenholtz; Yakov Babichenko; Oren Dean
Publié dans: The Twenty-First ACM Conference on Economics and Computation, 2020
Éditeur: The Twenty-First ACM Conference on Economics and Computation
DOI: 10.1145/3391403.3399456

Sequential Voting with Confirmation Network

Auteurs: Yakov Babichenko; Oren Dean; Moshe Tennenholtz
Publié dans: Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge, 2019
Éditeur: Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.4204/eptcs.297.2

STEER: Assessing the Economic Rationality of Large Language Models

Auteurs: Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
Publié dans: 2024
Éditeur: 41st International Conference on Machine Learning

Rethinking search engines and recommendation systems: a game theoretic perspective

Auteurs: Oren Kurland and Moshe Tennenholtz
Publié dans: Communications of the ACM, 2019
Éditeur: Communications of the ACM

Fiduciary Bandits

Auteurs: Bahar, Gal; Ben-Porat, Omer; Leyton-Brown, Kevin; Tennenholtz, Moshe
Publié dans: Computer Science and Game Theory, 2020
Éditeur: arXiv.org
DOI: 10.48550/arxiv.1905.07043

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

Auteurs: Yotam Gafni, and Moshe Tennenholtz
Publié dans: 2023
Éditeur: Nineteenth Conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.4204/EPTCS.379.20

Driving the Herd

Auteurs: Moshe Tennenholtz; Fiana Raiber; Gregory Goren; Oren Kurland
Publié dans: 30th ACM International Conference on Information and Knowledge Management, 2021
Éditeur: 30th ACM International Conference on Information and Knowledge Management
DOI: 10.1145/3459637.3482334

Characterizing Efficient Referrals in Social Networks

Auteurs: Reut Apel, Elad Yom-Tov, Moshe Tennenholtz
Publié dans: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Page(s) 23-24, ISBN 9781-450356404
Éditeur: ACM Press
DOI: 10.1145/3184558.3186910

From Recommendation Systems to Facility Location Games

Auteurs: Omer Ben-Porat, Gregory Goren, Itay Rosenberg and Moshe Tennenholtz
Publié dans: 2019
Éditeur: arXiv.org

A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers

Auteurs: Omer Ben-Porat, Moshe Tennenholtz
Publié dans: 2018
Éditeur: NIPS Proceedings

Ranking Robustness Under Adversarial Document Manipulations

Auteurs: Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Publié dans: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Page(s) 395-404, ISBN 9781-450356572
Éditeur: ACM Press
DOI: 10.1145/3209978.3210012

Best Response Regression

Auteurs: Omer Ben-Porat, Moshe Tennenholtz
Publié dans: 2017
Éditeur: NIPS Proceedings

Convergence of Learning Dynamics in Information Retrieval Games

Auteurs: Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Publié dans: 2019
Éditeur: arXiv.org

Incentive-Compatible Diffusion

Auteurs: Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Publié dans: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Page(s) 1379-1388, ISBN 9781-450356398
Éditeur: ACM Press
DOI: 10.1145/3178876.3186043

Content provider dynamics and coordination in recommendation ecosystems

Auteurs: Omer Ben-Porat, Itay Rosenberg and Moshe Tennenholtz
Publié dans: The Thirty-fourth Conference on Neural Information Processing Systems, 2020
Éditeur: The Thirty-fourth Conference on Neural Information Processing Systems

Strengthening Nash Equilibria

Auteurs: Geffner, Ivan; Tennenholtz, Moshe
Publié dans: 25th ACM Conference on Economics and Computation, 2024
Éditeur: 25th ACM Conference on Economics and Computation
DOI: 10.48550/arxiv.2312.14745

Competitive Retrieval: Going Beyond the Single Query

Auteurs: Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland
Publié dans: 2024
Éditeur: 14th International Conference on the Theory of Information Retrieval

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

Auteurs: Yotam Gafni; Ron Lavi; Moshe Tennenholtz
Publié dans: JAIR, 2021, Page(s) 99-135
Éditeur: JAIR
DOI: 10.13140/rg.2.2.10641.97125

Resilient Information Aggregation

Auteurs: Itai Arieli, Ivan Geffner, and Moshe Tennenholtz
Publié dans: 2023
Éditeur: Proceedings Nineteenth conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.48550/arXiv.2307.05054

VCG Under False-name Attacks: a Bayesian Analysis

Auteurs: Gafni, Yotam; Lavi, Ron; Tennenholtz, Moshe
Publié dans: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Éditeur: The Thirty-Fourth AAAI Conference on Artificial Intelligence
DOI: 10.48550/arxiv.1911.07210

Reputation-based Persuasion Platforms

Auteurs: Arieli, Itai; Madmon, Omer; Tennenholtz, Moshe
Publié dans: 16th International Symposium on Algorithmic Game Theory, 2023
Éditeur: 16th International Symposium on Algorithmic Game Theory
DOI: 10.48550/arxiv.2305.16694

Data Curation from Privacy-Aware Agents

Auteurs: Shahmoon, Roy; Smorodinsky, Rann; Tennenholtz, Moshe
Publié dans: 15th International Symposium on Algorithmic Game Theory, 2022
Éditeur: 15th International Symposium on Algorithmic Game Theory
DOI: 10.1007/978-3-031-15714-1_21

Designing Committees for Mitigating Biases

Auteurs: Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, and Moshe Tennenholtz.
Publié dans: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Éditeur: The Thirty-Fourth AAAI Conference on Artificial Intelligence

Ranking-Incentivized Quality Preserving Content Modification

Auteurs: Oren Kurland; Fiana Raiber; Moshe Tennenholtz; Gregory Goren
Publié dans: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Éditeur: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3397271.3401058

Game of Coins

Auteurs: Spiegelman, Alexander; Keidar, Idit; Tennenholtz, Moshe
Publié dans: 41st IEEE International Conference on Distributed Computing Systems, 2021
Éditeur: 41st IEEE International Conference on Distributed Computing Systems
DOI: 10.48550/arxiv.1805.08979

Regression Equilibrium

Auteurs: Moshe Tennenholtz; Omer Ben-Porat
Publié dans: The twentieth ACM conference on Economics and Computation, 2019
Éditeur: The twentieth ACM conference on Economics and Computation
DOI: 10.1145/3328526.3329560

Competitive Search

Auteurs: Oren Kurland; Moshe Tennenholtz
Publié dans: 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Éditeur: 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3477495.3532771

Peer reviewed articles (8)

Distributed Signaling Games

Auteurs: Moran Feldman, Moshe Tennenholtz, and Omri Weinstein
Publié dans: ACM Transactions on Economics and Computation, 2021, ISSN 2167-8375
Éditeur: ACM Transactions on Economics and Computation
DOI: 10.1145/3381529

Predicting Decisions in Language Based Persuasion Games

Auteurs: Apel, Reut; Erev, Ido; Reichart, Roi; Tennenholtz, Moshe
Publié dans: Journal of Artificial Intelligence Research, 2022, ISSN 1076-9757
Éditeur: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13510

Designing an Automatic Agent for Repeated Language–based Persuasion Games

Auteurs: Raifer, Maya; Rotman, Guy; Apel, Reut; Tennenholtz, Moshe; Reichart, Roi
Publié dans: Transactions of the Association for Computational Lingustics, 2022, ISSN 2307-387X
Éditeur: Transactions of the Association for Computational Lingustics
DOI: 10.1162/tacl_a_00462

Dynamics of Evolving Social Groups

Auteurs: Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, and Moshe Tenneholtz
Publié dans: ACM Transactions on Economics and Computation, 2019, ISSN 2167-8375
Éditeur: ACM Transactions on Economics and Computation

Representative Committees of Peers

Auteurs: Moshe Tennenholtz; Fedor Sandomirskiy; Reshef Meir
Publié dans: JAIR VOL 71, 2021, Page(s) 401-429, ISSN 1076-9757
Éditeur: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.12521

Bidding games and efficient allocations

Auteurs: Reshef Meir, Gil Kalai, Moshe Tennenholtz
Publié dans: Games and Economic Behavior, Numéro 112, 2018, Page(s) 166-193, ISSN 0899-8256
Éditeur: Academic Press
DOI: 10.1016/j.geb.2018.08.005

A Game Theoretic Analysis of the Adversarial Retrieval Setting

Auteurs: Ran Ben Basat, Moshe Tennenholtz, Oren Kurland
Publié dans: Journal of Artificial Intelligence Research, Numéro 60, 2017, Page(s) 1127-1164, ISSN 1076-9757
Éditeur: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.5547

Segmentation, Incentives, and Privacy

Auteurs: Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
Publié dans: Mathematics of Operations Research, Numéro 43/4, 2018, Page(s) 1252-1268, ISSN 0364-765X
Éditeur: Institute for Operations Research and the Management Sciences
DOI: 10.1287/moor.2017.0903

Monographic books (1)

Social Learning and the Innkeeper's Challenge

Auteurs: Gal Bahar Rann Smorodinsky Moshe Tennenholtz
Publié dans: EC '19: Proceedings of the 2019 ACM Conference on Economics and Computation, Numéro 153-170, 2019, ISBN 9781450367929
Éditeur: ACM DL
DOI: 10.1145/3328526.3329569