Omer Ben-Porat (עומר בן-פורת)

Postdoctoral Researcher,

Tel-Aviv University.

Email: $benporat@mail.tau.ac.il (replace $ with my first name)

I am a Postdoctoral Researcher at the School of Computer Science at Tel-Aviv University, hosted by Prof. Yishay Mansour.

My research interests lie at the intersection of machine learning and algorithmic game theory. More specifically, I am interested in strategic, societal, and economic aspects of ML, developing both theory and practical tools.

I received my PhD from the Technion—Israel Institute of Technology, where I was very fortunate to be advised by Moshe Tennenholtz in the IE&M Faculty. I was very generously supported a J.P. Morgan PhD Fellowship.

What's new?

  • [Aug 2021] I'm Co-organizing the NeurIPS 2021 Workshop on Learning in Presence of Strategic Behavior with Nika Haghtalab, Annie Liang, Yishay Mansour, and David Parkes.

  • [July 2021] I received the Israeli Association for Artificial Intelligence (IAAI) best Ph.D. thesis award!

  • [Dec 2020] Our paper "Corporate Social Responsibility via Multi-Armed Bandits" got accepted to ACM FACCT 2021! (ACM Conference on Fairness, Accountability, and Transparency)

  • [Dec 2020] Our paper "Protecting the Protected Group: Circumventing Harmful Fairness" got accepted to AAAI 2020!

  • [Oct 2020] Joined Tel-Aviv University as a Postdoctoral Researcher, hosted by Prof. Yishay Mansour.

  • [Sept 2020] Our work "Content Provider Dynamics and Coordination in Recommendation Ecosystems" got accepted to NeurIPS 2020!

  • [Aug 2020] I defended my PhD dissertation, entitled "Strategic Behavior in Prediction and Recommendation"!

  • [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!