My research interests lie at the intersection of machine learning and computational game theory. More specifically, I am interested in strategic, societal, and economic aspects of ML, developing both theory and practical tools.
[Jan 2023] Our paper "Learning with Exposure Constraints in Recommendation Systems" got accepted to WWW 2023!
[Dec 2022] Our paper "Frustratingly Easy Truth Discovery" got accepted to AAAI 2023!
[Mar 2022] I joined the Technion IE&M as an Assistant Professor!
[Dec 2021] Our paper "Modeling Attrition in Recommender Systems with Departing Bandits" got accepted to AAAI 2022!
[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 2021!
[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!