11 citations · 14 across the 4 of their papers we have counts for
15 papers
Data Sharing with a Generative AI Competitor
Boaz Taitler, Omer Madmon, Moshe Tennenholtz +1
As GenAI platforms grow, their dependence on content from competing providers, combined with access to alternative data sources, creates new challenges for data-sharing decisions.…
Near-Linear MIR Algorithms for Stochastically-Ordered Priors
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown +1
With the rise of online applications, recommender systems (RSs) often encounter constraints in balancing exploration and exploitation. Such constraints arise when exploration is ca…
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
Martin Mladenov, Elliot Creager, Omer Ben-Porat +3
Most recommender systems (RS) research assumes that a user's utility can be maximized independently of the utility of the other agents (e.g., other users, content providers). In re…
Learning under Invariable Bayesian Safety
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown +1
A recent body of work addresses safety constraints in explore-and-exploit systems. Such constraints arise where, for example, exploration is carried out by individuals whose welfar…
Predicting Strategic Behavior from Free Text
Omer Ben-Porat, Sharon Hirsch, Lital Kuchy +3
The connection between messaging and action is fundamental both to web applications, such as web search and sentiment analysis, and to economics. However, while prominent online ap…
Privacy, Altruism, and Experience: Estimating the Perceived Value of Internet Data for Medical Uses
Gilie Gefen, Omer Ben-Porat, Moshe Tennenholtz +1
People increasingly turn to the Internet when they have a medical condition. The data they create during this process is a valuable source for medical research and for future healt…