Publications

Preprints, in press and forthcoming

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

2018

2017