Omer Ben-Porat (עומר בן-פורת)

PhD Candidate,

Technion - Israel Institute of Technology

Email: omerbp at campus.technion.ac.il

I am a PhD student in the IE&M Faculty at the Technion—Israel Institute of Technology, where I am thrilled to be advised by Moshe Tennenholtz.

My research interests lie at the intersection of machine learning and algorithmic game theory. More specifically, I am interested in developing theory and practical tools for the emerging domain of learning in the presence of strategic behavior. Prominent examples include analyzing interactions between multiple learning agents, mitigating the incentives of strategic content providers in recommendation systems, learning from selfish agents, and predicting strategic behavior.

My research is partially supported by a J.P. Morgan PhD Fellowship.

What's new?

  • [June 2020] Two papers, "Fiduciary Bandits" and "Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach" got accepted to ICML 2020!
  • [Apr 2020] Our work "Predicting Strategic Behavior from Free Text" got accepted to the Journal of Artificial Intelligence Research!
  • [Mar 2020] Our work "Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses" got accepted to The Web Conference 2020 Workshop on Innovative Ideas in Data Science!
  • [Feb 2020] Presenting our work in the AAAI 2020 Workshop on Privacy-Preserving Artificial Intelligence, PPAI 2020.
  • [Dec 2019] Presented at YoungEC' 2019 at Tel-Aviv.
  • [July 2019] I gave a talk at Facebook, Menlo Park, CA.
  • [June 2019] Co-organized the EC 2019 Workshop on Learning in Presence of Strategic Behavior with Nika Haghtalab, Yishay Mansour and Tim Roughgarden.
  • [June 2019] Summer Research Scientist at Google (Mountain View, CA). Working with the Discrete Algorithms group.
  • [Apr 2019] Our paper "Regression Equilibrium" got accepted to EC 2019!
  • [Apr 2019] I gave a talk on "Regression Equilibrium" at the EconCS Group Seminar at Harvard.
  • [Apr 2019] I gave a talk on "Regression Equilibrium" at the Artificial Intelligence Seminar at Carnegie Mellon University.
  • [Jan 2019] I was selected as a 2019 J.P. Morgan PhD Fellow (one of 14 worldwide)!
  • [Oct 2018] Aloha! Two papers, "From Recommendation Systems to Facility Location Games" and "Convergence of Learning Dynamics in Information Retrieval Games" were accepted to AAAI 2019!
  • [Sept 2018] Our paper "A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers" got accepted to NIPS 2018!
  • [Jul 2018] I presented our work on "A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers" in ICML 2018 workshop on Game-Theoretic Mechanisms for Data and Information.
  • [Apr 2018] Our paper "Multi-Unit Facility Location Games" got accepted to Mathematics of Operations Research!
  • [Feb 2018] I designed, created and taught "Introduction to Machine Learning in Python" for MBA students in the Technion!
  • [Sept 2017] Our paper "Shapley Facility Location Games" got accepted to WINE 2017!
  • [Sept 2017] Our paper "Best Response Regression" got accepted to NIPS 2017!