Mechanism Design for Data Science

Informazioni relative al progetto

MDDS

ID dell’accordo di sovvenzione: 740435

DOI

10.3030/740435

Progetto chiuso

Data della firma CE 8 Maggio 2017

Data di avvio 1 Luglio 2017

Data di completamento 30 Giugno 2022

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 2 493 705,00

Contributo UE

€ 2 493 705,00

Coordinato da

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Book chapters (5)

Pareto-Improving Data-Sharing

Autori: Ronen Gradwohl Moshe Tennenholtz
Pubblicato in: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Numero 197-198, 2022, ISBN 978-1-4503-9352-2
Editore: ACM DL
DOI: 10.1145/3531146.3533085

Predicting Strategic Behavior from Free Text

Autori: Omer Ben-Porat Sharon Hirsch Lital Kuchy Guy Elad Roi Reichart Moshe Tennenholtz
Pubblicato in: JAIR, 2020, Pagina/e 413-445
Editore: JAIR
DOI: 10.1613/jair.1.11849

Coopetition Against an Amazon

Autori: Ronen Gradwoh, Moshe Tennenholtz
Pubblicato in: SAGT 2022: Algorithmic Game Theory, 2022, Pagina/e 347–365
Editore: SPRINGER LINK
DOI: 10.1007/978-3-031-15714-1_20

On Social Networks that Support Learning

Autori: ITAI ARIELI, Technion, Israel FEDOR SANDOMIRSKIY, Technion, Israel and Higher School of Economics, Russia RANN SMORODINSKY
Pubblicato in: 2020
Editore: arXiv.org
DOI: 10.48550/arxiv.2011.05255

Shapley Facility Location Games

Autori: Omer Ben-Porat, Moshe Tennenholtz
Pubblicato in: Web and Internet Economics, Numero 10660, 2017, Pagina/e 58-73, ISBN 978-3-319-71923-8
Editore: 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

Autori: Moshe Tennenholtz; Gilie Gefen; Omer Ben-Porat; Elad Yom-Tov
Pubblicato in: The Web Conference 2020, 2020
Editore: The Web Conference 2020
DOI: 10.1145/3366424.3383414

Long-term Data Sharing under Exclusivity Attacks

Autori: Yotam Gafni; Moshe Tennenholtz
Pubblicato in: 2022
Editore: PUBLICATION HISTORY
DOI: 10.48550/arxiv.2201.09137

Sponsored Question Answering

Autori: Tommy Mordo, Moshe Tennenholtz, Oren Kurland
Pubblicato in: 2024
Editore: 14th International Conference on the Theory of Information Retrieval

Protecting the Protected Group: Circumventing Harmful Fairness

Autori: Ben-Porat, Omer; Sandomirskiy, Fedor; Tennenholtz, Moshe
Pubblicato in: Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Editore: Thirty-Fifth AAAI Conference on Artificial Intelligence
DOI: 10.1609/aaai.v35i6.16654

Studying Ranking-Incentivized Web Dynamics

Autori: Moshe Tennenholtz; Ziv Vasilisky; Oren Kurland
Pubblicato in: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Editore: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3397271.3401300

Selling Data to a Competitor

Autori: Ronen Gradwohl, Moshe Tennenholtz
Pubblicato in: 2023
Editore: arXiv.org
DOI: 10.48550/arxiv.2302.00285

Predicting human decisions with behavioral theories and machine learning

Autori: 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
Pubblicato in: Artificial Intelligence, 2019
Editore: arXiv.org
DOI: 10.48550/arxiv.1904.06866

Mediated Cheap Talk Design (with proofs)

Autori: Arieli, Itai; Geffner, Ivan; Tennenholtz, Moshe
Pubblicato in: Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Editore: Thirty-Seventh AAAI Conference on Artificial Intelligence
DOI: 10.48550/arxiv.2211.14670

Incentive-Compatible Classification

Autori: Moshe Tennenholtz; Yakov Babichenko; Oren Dean
Pubblicato in: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Editore: 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

Autori: Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz and Fiana Raiber
Pubblicato in: 13th International Conference on the Theory of Information Retrieval, 2023
Editore: 13th International Conference on the Theory of Information Retrieval
DOI: 10.1145/3578337.3605124

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

Autori: Yotam Gafni, Moshe Tennenholtz
Pubblicato in: 2022
Editore: arXiv.org
DOI: 10.48550/arxiv.2210.15181

Incentive-Compatible Selection Mechanisms for Forests

Autori: Moshe Tennenholtz; Yakov Babichenko; Oren Dean
Pubblicato in: The Twenty-First ACM Conference on Economics and Computation, 2020
Editore: The Twenty-First ACM Conference on Economics and Computation
DOI: 10.1145/3391403.3399456

Sequential Voting with Confirmation Network

Autori: Yakov Babichenko; Oren Dean; Moshe Tennenholtz
Pubblicato in: Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge, 2019
Editore: Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.4204/eptcs.297.2

STEER: Assessing the Economic Rationality of Large Language Models

Autori: Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
Pubblicato in: 2024
Editore: 41st International Conference on Machine Learning

Rethinking search engines and recommendation systems: a game theoretic perspective

Autori: Oren Kurland and Moshe Tennenholtz
Pubblicato in: Communications of the ACM, 2019
Editore: Communications of the ACM

Fiduciary Bandits

Autori: Bahar, Gal; Ben-Porat, Omer; Leyton-Brown, Kevin; Tennenholtz, Moshe
Pubblicato in: Computer Science and Game Theory, 2020
Editore: arXiv.org
DOI: 10.48550/arxiv.1905.07043

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

Autori: Yotam Gafni, and Moshe Tennenholtz
Pubblicato in: 2023
Editore: Nineteenth Conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.4204/EPTCS.379.20

Driving the Herd

Autori: Moshe Tennenholtz; Fiana Raiber; Gregory Goren; Oren Kurland
Pubblicato in: 30th ACM International Conference on Information and Knowledge Management, 2021
Editore: 30th ACM International Conference on Information and Knowledge Management
DOI: 10.1145/3459637.3482334

Characterizing Efficient Referrals in Social Networks

Autori: Reut Apel, Elad Yom-Tov, Moshe Tennenholtz
Pubblicato in: Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018, Pagina/e 23-24, ISBN 9781-450356404
Editore: ACM Press
DOI: 10.1145/3184558.3186910

From Recommendation Systems to Facility Location Games

Autori: Omer Ben-Porat, Gregory Goren, Itay Rosenberg and Moshe Tennenholtz
Pubblicato in: 2019
Editore: arXiv.org

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

Autori: Omer Ben-Porat, Moshe Tennenholtz
Pubblicato in: 2018
Editore: NIPS Proceedings

Ranking Robustness Under Adversarial Document Manipulations

Autori: Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
Pubblicato in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Pagina/e 395-404, ISBN 9781-450356572
Editore: ACM Press
DOI: 10.1145/3209978.3210012

Best Response Regression

Autori: Omer Ben-Porat, Moshe Tennenholtz
Pubblicato in: 2017
Editore: NIPS Proceedings

Convergence of Learning Dynamics in Information Retrieval Games

Autori: Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Pubblicato in: 2019
Editore: arXiv.org

Incentive-Compatible Diffusion

Autori: Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Pubblicato in: Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, 2018, Pagina/e 1379-1388, ISBN 9781-450356398
Editore: ACM Press
DOI: 10.1145/3178876.3186043

Content provider dynamics and coordination in recommendation ecosystems

Autori: Omer Ben-Porat, Itay Rosenberg and Moshe Tennenholtz
Pubblicato in: The Thirty-fourth Conference on Neural Information Processing Systems, 2020
Editore: The Thirty-fourth Conference on Neural Information Processing Systems

Strengthening Nash Equilibria

Autori: Geffner, Ivan; Tennenholtz, Moshe
Pubblicato in: 25th ACM Conference on Economics and Computation, 2024
Editore: 25th ACM Conference on Economics and Computation
DOI: 10.48550/arxiv.2312.14745

Competitive Retrieval: Going Beyond the Single Query

Autori: Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber, Oren Kurland
Pubblicato in: 2024
Editore: 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

Autori: Yotam Gafni; Ron Lavi; Moshe Tennenholtz
Pubblicato in: JAIR, 2021, Pagina/e 99-135
Editore: JAIR
DOI: 10.13140/rg.2.2.10641.97125

Resilient Information Aggregation

Autori: Itai Arieli, Ivan Geffner, and Moshe Tennenholtz
Pubblicato in: 2023
Editore: Proceedings Nineteenth conference on Theoretical Aspects of Rationality and Knowledge
DOI: 10.48550/arXiv.2307.05054

VCG Under False-name Attacks: a Bayesian Analysis

Autori: Gafni, Yotam; Lavi, Ron; Tennenholtz, Moshe
Pubblicato in: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Editore: The Thirty-Fourth AAAI Conference on Artificial Intelligence
DOI: 10.48550/arxiv.1911.07210

Reputation-based Persuasion Platforms

Autori: Arieli, Itai; Madmon, Omer; Tennenholtz, Moshe
Pubblicato in: 16th International Symposium on Algorithmic Game Theory, 2023
Editore: 16th International Symposium on Algorithmic Game Theory
DOI: 10.48550/arxiv.2305.16694

Data Curation from Privacy-Aware Agents

Autori: Shahmoon, Roy; Smorodinsky, Rann; Tennenholtz, Moshe
Pubblicato in: 15th International Symposium on Algorithmic Game Theory, 2022
Editore: 15th International Symposium on Algorithmic Game Theory
DOI: 10.1007/978-3-031-15714-1_21

Designing Committees for Mitigating Biases

Autori: Michal Feldman, Yishay Mansour, Noam Nisan, Sigal Oren, and Moshe Tennenholtz.
Pubblicato in: The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Editore: The Thirty-Fourth AAAI Conference on Artificial Intelligence

Ranking-Incentivized Quality Preserving Content Modification

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

Game of Coins

Autori: Spiegelman, Alexander; Keidar, Idit; Tennenholtz, Moshe
Pubblicato in: 41st IEEE International Conference on Distributed Computing Systems, 2021
Editore: 41st IEEE International Conference on Distributed Computing Systems
DOI: 10.48550/arxiv.1805.08979

Regression Equilibrium

Autori: Moshe Tennenholtz; Omer Ben-Porat
Pubblicato in: The twentieth ACM conference on Economics and Computation, 2019
Editore: The twentieth ACM conference on Economics and Computation
DOI: 10.1145/3328526.3329560

Competitive Search

Autori: Oren Kurland; Moshe Tennenholtz
Pubblicato in: 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Editore: 45th Internation ACM SIGIR Conference on Research and Development in Information Retrieval
DOI: 10.1145/3477495.3532771

Peer reviewed articles (8)

Distributed Signaling Games

Autori: Moran Feldman, Moshe Tennenholtz, and Omri Weinstein
Pubblicato in: ACM Transactions on Economics and Computation, 2021, ISSN 2167-8375
Editore: ACM Transactions on Economics and Computation
DOI: 10.1145/3381529

Predicting Decisions in Language Based Persuasion Games

Autori: Apel, Reut; Erev, Ido; Reichart, Roi; Tennenholtz, Moshe
Pubblicato in: Journal of Artificial Intelligence Research, 2022, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13510

Designing an Automatic Agent for Repeated Language–based Persuasion Games

Autori: Raifer, Maya; Rotman, Guy; Apel, Reut; Tennenholtz, Moshe; Reichart, Roi
Pubblicato in: Transactions of the Association for Computational Lingustics, 2022, ISSN 2307-387X
Editore: Transactions of the Association for Computational Lingustics
DOI: 10.1162/tacl_a_00462

Dynamics of Evolving Social Groups

Autori: Noga Alon, Michal Feldman, Yishay Mansour, Sigal Oren, and Moshe Tenneholtz
Pubblicato in: ACM Transactions on Economics and Computation, 2019, ISSN 2167-8375
Editore: ACM Transactions on Economics and Computation

Representative Committees of Peers

Autori: Moshe Tennenholtz; Fedor Sandomirskiy; Reshef Meir
Pubblicato in: JAIR VOL 71, 2021, Pagina/e 401-429, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.12521

Bidding games and efficient allocations

Autori: Reshef Meir, Gil Kalai, Moshe Tennenholtz
Pubblicato in: Games and Economic Behavior, Numero 112, 2018, Pagina/e 166-193, ISSN 0899-8256
Editore: Academic Press
DOI: 10.1016/j.geb.2018.08.005

A Game Theoretic Analysis of the Adversarial Retrieval Setting

Autori: Ran Ben Basat, Moshe Tennenholtz, Oren Kurland
Pubblicato in: Journal of Artificial Intelligence Research, Numero 60, 2017, Pagina/e 1127-1164, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.5547

Segmentation, Incentives, and Privacy

Autori: Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
Pubblicato in: Mathematics of Operations Research, Numero 43/4, 2018, Pagina/e 1252-1268, ISSN 0364-765X
Editore: Institute for Operations Research and the Management Sciences
DOI: 10.1287/moor.2017.0903

Monographic books (1)

Social Learning and the Innkeeper's Challenge

Autori: Gal Bahar Rann Smorodinsky Moshe Tennenholtz
Pubblicato in: EC '19: Proceedings of the 2019 ACM Conference on Economics and Computation, Numero 153-170, 2019, ISBN 9781450367929
Editore: ACM DL
DOI: 10.1145/3328526.3329569