3 papers
econ.TH2026
Robustness of Persuasion to Receiver Preferences
Ronen Gradwohl, Fengming Hu, Rann Smorodinsky
We study the robustness of Bayesian persuasion to uncertainty about the receiver's preferences. We analyze two conceptually distinct notions: continuity, in which only the modeler…
cs.LG2025
Fairness under Competition
Ronen Gradwohl, Eilam Shapira, Moshe Tennenholtz
Algorithmic fairness has emerged as a central issue in ML, and it has become standard practice to adjust ML algorithms so that they will satisfy fairness requirements such as Equal…
econ.TH2024
Prediction-sharing During Training and Inference
Yotam Gafni, Ronen Gradwohl, Moshe Tennenholtz
Two firms are engaged in a competitive prediction task. Each firm has two sources of data -- labeled historical data and unlabeled inference-time data -- and uses the former to der…