51 citations · 68 across the 22 of their papers we have counts for
5 papers · 2 filters
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
Eden Saig, Nir Rosenfeld
Optimizing user engagement is a key goal for modern recommendation systems, but blindly pushing users towards increased consumption risks burn-out, churn, or even addictive habits.…
Strategic Representation
Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen +1
Humans have come to rely on machines for reducing excessive information to manageable representations. But this reliance can be abused -- strategic machines might craft representat…
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
Amir Feder, Guy Horowitz, Yoav Wald +2
Accurately predicting the relevance of items to users is crucial to the success of many social platforms. Conventional approaches train models on logged historical data; but recomm…
Strategic Classification with Graph Neural Networks
Itay Eilat, Ben Finkelshtein, Chaim Baskin +1
Strategic classification studies learning in settings where users can modify their features to obtain favorable predictions. Most current works focus on simple classifiers that tri…
Generalized Strategic Classification and the Case of Aligned Incentives
Sagi Levanon, Nir Rosenfeld
Strategic classification studies learning in settings where self-interested users can strategically modify their features to obtain favorable predictive outcomes. A key working ass…