Mechanism Design for Data Science

Información del proyecto

MDDS

Identificador del acuerdo de subvención: 740435

DOI

10.3030/740435

Proyecto cerrado

Fecha de la firma de la CE 8 Mayo 2017

Fecha de inicio 1 Julio 2017

Fecha de finalización 30 Junio 2022

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 2 493 705,00

Aportación de la UE

€ 2 493 705,00

Coordinado por

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Book chapters (5)

Pareto-Improving Data-Sharing

Autores: Ronen Gradwohl Moshe Tennenholtz
Publicado en: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Edición 197-198, 2022, ISBN 978-1-4503-9352-2
Editor: ACM DL
DOI: 10.1145/3531146.3533085

Predicting Strategic Behavior from Free Text

Autores: Omer Ben-Porat Sharon Hirsch Lital Kuchy Guy Elad Roi Reichart Moshe Tennenholtz
Publicado en: JAIR, 2020, Página(s) 413-445
Editor: JAIR
DOI: 10.1613/jair.1.11849

Coopetition Against an Amazon

Autores: Ronen Gradwoh, Moshe Tennenholtz
Publicado en: SAGT 2022: Algorithmic Game Theory, 2022, Página(s) 347–365
Editor: SPRINGER LINK
DOI: 10.1007/978-3-031-15714-1_20

On Social Networks that Support Learning

Autores: ITAI ARIELI, Technion, Israel FEDOR SANDOMIRSKIY, Technion, Israel and Higher School of Economics, Russia RANN SMORODINSKY
Publicado en: 2020
Editor: arXiv.org
DOI: 10.48550/arxiv.2011.05255

Shapley Facility Location Games

Autores: Omer Ben-Porat, Moshe Tennenholtz
Publicado en: Web and Internet Economics, Edición 10660, 2017, Página(s) 58-73, ISBN 978-3-319-71923-8
Editor: 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

Autores: Moshe Tennenholtz; Gilie Gefen; Omer Ben-Porat; Elad Yom-Tov
Publicado en: The Web Conference 2020, 2020
Editor: The Web Conference 2020
DOI: 10.1145/3366424.3383414

Long-term Data Sharing under Exclusivity Attacks

Autores: Yotam Gafni; Moshe Tennenholtz
Publicado en: 2022
Editor: PUBLICATION HISTORY
DOI: 10.48550/arxiv.2201.09137

Sponsored Question Answering

Autores: Tommy Mordo, Moshe Tennenholtz, Oren Kurland
Publicado en: 2024
Editor: 14th International Conference on the Theory of Information Retrieval

Protecting the Protected Group: Circumventing Harmful Fairness

Autores: Ben-Porat, Omer; Sandomirskiy, Fedor; Tennenholtz, Moshe
Publicado en: Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Editor: Thirty-Fifth AAAI Conference on Artificial Intelligence
DOI: 10.1609/aaai.v35i6.16654

Studying Ranking-Incentivized Web Dynamics

Autores: Moshe Tennenholtz; Ziv Vasilisky; Oren Kurland
Publicado en: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Editor: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3397271.3401300

Selling Data to a Competitor

Autores: Ronen Gradwohl, Moshe Tennenholtz
Publicado en: 2023
Editor: arXiv.org
DOI: 10.48550/arxiv.2302.00285

Predicting human decisions with behavioral theories and machine learning

Autores: 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
Publicado en: Artificial Intelligence, 2019
Editor: arXiv.org
DOI: 10.48550/arxiv.1904.06866

Mediated Cheap Talk Design (with proofs)

Autores: Arieli, Itai; Geffner, Ivan; Tennenholtz, Moshe
Publicado en: Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Editor: Thirty-Seventh AAAI Conference on Artificial Intelligence
DOI: 10.48550/arxiv.2211.14670

Incentive-Compatible Classification

Autores: Moshe Tennenholtz; Yakov Babichenko; Oren Dean
Publicado en: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Editor: 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

Autores: Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz and Fiana Raiber
Publicado en: 13th International Conference on the Theory of Information Retrieval, 2023
Editor: 13th International Conference on the Theory of Information Retrieval
DOI: 10.1145/3578337.3605124

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

Autores: Yotam Gafni, Moshe Tennenholtz
Publicado en: 2022
Editor: arXiv.org
DOI: 10.48550/arxiv.2210.15181

Incentive-Compatible Selection Mechanisms for Forests

Autores: Moshe Tennenholtz; Yakov Babichenko; Oren Dean
Publicado en: The Twenty-First ACM Conference on Economics and Computation, 2020
Editor: The Twenty-First ACM Conference on Economics and Computation
DOI: 10.1145/3391403.3399456

Sequential Voting with Confirmation Network

Autores: Yakov Babichenko; Oren Dean; Moshe Tennenholtz
Publicado en: Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge, 2019
Editor: Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.4204/eptcs.297.2

STEER: Assessing the Economic Rationality of Large Language Models

Autores: Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
Publicado en: 2024
Editor: 41st International Conference on Machine Learning

Rethinking search engines and recommendation systems: a game theoretic perspective

Autores: Oren Kurland and Moshe Tennenholtz
Publicado en: Communications of the ACM, 2019
Editor: Communications of the ACM

Fiduciary Bandits

Autores: Bahar, Gal; Ben-Porat, Omer; Leyton-Brown, Kevin; Tennenholtz, Moshe
Publicado en: Computer Science and Game Theory, 2020
Editor: arXiv.org
DOI: 10.48550/arxiv.1905.07043

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

Autores: Yotam Gafni, and Moshe Tennenholtz
Publicado en: 2023
Editor: Nineteenth Conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.4204/EPTCS.379.20

Driving the Herd

Autores: Moshe Tennenholtz; Fiana Raiber; Gregory Goren; Oren Kurland
Publicado en: 30th ACM International Conference on Information and Knowledge Management, 2021
Editor: 30th ACM International Conference on Information and Knowledge Management
DOI: 10.1145/3459637.3482334

Characterizing Efficient Referrals in Social Networks

Autores: Reut Apel, Elad Yom-Tov, Moshe Tennenholtz
Publicado en: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Página(s) 23-24, ISBN 9781-450356404
Editor: ACM Press
DOI: 10.1145/3184558.3186910

From Recommendation Systems to Facility Location Games

Autores: Omer Ben-Porat, Gregory Goren, Itay Rosenberg and Moshe Tennenholtz
Publicado en: 2019
Editor: arXiv.org

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

Autores: Omer Ben-Porat, Moshe Tennenholtz
Publicado en: 2018
Editor: NIPS Proceedings

Ranking Robustness Under Adversarial Document Manipulations

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

Best Response Regression

Autores: Omer Ben-Porat, Moshe Tennenholtz
Publicado en: 2017
Editor: NIPS Proceedings

Convergence of Learning Dynamics in Information Retrieval Games

Autores: Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Publicado en: 2019
Editor: arXiv.org

Incentive-Compatible Diffusion

Autores: Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Publicado en: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Página(s) 1379-1388, ISBN 9781-450356398
Editor: ACM Press
DOI: 10.1145/3178876.3186043

Content provider dynamics and coordination in recommendation ecosystems

Autores: Omer Ben-Porat, Itay Rosenberg and Moshe Tennenholtz
Publicado en: The Thirty-fourth Conference on Neural Information Processing Systems, 2020
Editor: The Thirty-fourth Conference on Neural Information Processing Systems

Strengthening Nash Equilibria

Autores: Geffner, Ivan; Tennenholtz, Moshe
Publicado en: 25th ACM Conference on Economics and Computation, 2024
Editor: 25th ACM Conference on Economics and Computation
DOI: 10.48550/arxiv.2312.14745

Competitive Retrieval: Going Beyond the Single Query

Autores: Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland
Publicado en: 2024
Editor: 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

Autores: Yotam Gafni; Ron Lavi; Moshe Tennenholtz
Publicado en: JAIR, 2021, Página(s) 99-135
Editor: JAIR
DOI: 10.13140/rg.2.2.10641.97125

Resilient Information Aggregation

Autores: Itai Arieli, Ivan Geffner, and Moshe Tennenholtz
Publicado en: 2023
Editor: Proceedings Nineteenth conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.48550/arXiv.2307.05054

VCG Under False-name Attacks: a Bayesian Analysis

Autores: Gafni, Yotam; Lavi, Ron; Tennenholtz, Moshe
Publicado en: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Editor: The Thirty-Fourth AAAI Conference on Artificial Intelligence
DOI: 10.48550/arxiv.1911.07210

Reputation-based Persuasion Platforms

Autores: Arieli, Itai; Madmon, Omer; Tennenholtz, Moshe
Publicado en: 16th International Symposium on Algorithmic Game Theory, 2023
Editor: 16th International Symposium on Algorithmic Game Theory
DOI: 10.48550/arxiv.2305.16694

Data Curation from Privacy-Aware Agents

Autores: Shahmoon, Roy; Smorodinsky, Rann; Tennenholtz, Moshe
Publicado en: 15th International Symposium on Algorithmic Game Theory, 2022
Editor: 15th International Symposium on Algorithmic Game Theory
DOI: 10.1007/978-3-031-15714-1_21

Designing Committees for Mitigating Biases

Autores: Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, and Moshe Tennenholtz.
Publicado en: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Editor: The Thirty-Fourth AAAI Conference on Artificial Intelligence

Ranking-Incentivized Quality Preserving Content Modification

Autores: Oren Kurland; Fiana Raiber; Moshe Tennenholtz; Gregory Goren
Publicado en: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Editor: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3397271.3401058

Game of Coins

Autores: Spiegelman, Alexander; Keidar, Idit; Tennenholtz, Moshe
Publicado en: 41st IEEE International Conference on Distributed Computing Systems, 2021
Editor: 41st IEEE International Conference on Distributed Computing Systems
DOI: 10.48550/arxiv.1805.08979

Regression Equilibrium

Autores: Moshe Tennenholtz; Omer Ben-Porat
Publicado en: The twentieth ACM conference on Economics and Computation, 2019
Editor: The twentieth ACM conference on Economics and Computation
DOI: 10.1145/3328526.3329560

Competitive Search

Autores: Oren Kurland; Moshe Tennenholtz
Publicado en: 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Editor: 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3477495.3532771

Peer reviewed articles (8)

Distributed Signaling Games

Autores: Moran Feldman, Moshe Tennenholtz, and Omri Weinstein
Publicado en: ACM Transactions on Economics and Computation, 2021, ISSN 2167-8375
Editor: ACM Transactions on Economics and Computation
DOI: 10.1145/3381529

Predicting Decisions in Language Based Persuasion Games

Autores: Apel, Reut; Erev, Ido; Reichart, Roi; Tennenholtz, Moshe
Publicado en: Journal of Artificial Intelligence Research, 2022, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13510

Designing an Automatic Agent for Repeated Language–based Persuasion Games

Autores: Raifer, Maya; Rotman, Guy; Apel, Reut; Tennenholtz, Moshe; Reichart, Roi
Publicado en: Transactions of the Association for Computational Lingustics, 2022, ISSN 2307-387X
Editor: Transactions of the Association for Computational Lingustics
DOI: 10.1162/tacl_a_00462

Dynamics of Evolving Social Groups

Autores: Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, and Moshe Tenneholtz
Publicado en: ACM Transactions on Economics and Computation, 2019, ISSN 2167-8375
Editor: ACM Transactions on Economics and Computation

Representative Committees of Peers

Autores: Moshe Tennenholtz; Fedor Sandomirskiy; Reshef Meir
Publicado en: JAIR VOL 71, 2021, Página(s) 401-429, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.12521

Bidding games and efficient allocations

Autores: Reshef Meir, Gil Kalai, Moshe Tennenholtz
Publicado en: Games and Economic Behavior, Edición 112, 2018, Página(s) 166-193, ISSN 0899-8256
Editor: Academic Press
DOI: 10.1016/j.geb.2018.08.005

A Game Theoretic Analysis of the Adversarial Retrieval Setting

Autores: Ran Ben Basat, Moshe Tennenholtz, Oren Kurland
Publicado en: Journal of Artificial Intelligence Research, Edición 60, 2017, Página(s) 1127-1164, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.5547

Segmentation, Incentives, and Privacy

Autores: Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
Publicado en: Mathematics of Operations Research, Edición 43/4, 2018, Página(s) 1252-1268, ISSN 0364-765X
Editor: Institute for Operations Research and the Management Sciences
DOI: 10.1287/moor.2017.0903

Monographic books (1)

Social Learning and the Innkeeper's Challenge

Autores: Gal Bahar Rann Smorodinsky Moshe Tennenholtz
Publicado en: EC '19: Proceedings of the 2019 ACM Conference on Economics and Computation, Edición 153-170, 2019, ISBN 9781450367929
Editor: ACM DL
DOI: 10.1145/3328526.3329569