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Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling Wei T ang
Prophet inequality concerns a basic optimal stopping problem and states that simple threshold stopping policies -- i.e., accepting the first reward larger than a certain threshold -- can achieve tight
User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin Harvard University
The dual nature of these systems naturally influences both users and creators: users' preferences are
Bayesian Strategic Classification Lee Cohen
Machine Learning critically relies on the assumption that the training data is representative of the unseen instances a learner faces at test time.
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
On User-Generated Content (UGC) platforms, recommendation algorithms significantly impact creators' motivation to produce content as they compete for
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
Accurately modeling weather variation pattern from large amount of meteorological variables sequences is increasingly vital for providing efficient weather analysis support for disaster warning.
Contracting with a Learning Agent Guru Guruganesh Yoav Kolumbus Jon Schneider Inbal T algam-Cohen Emmanouil-V asileios Vlatakis-Gkaragkounis Joshua R. Wang S. Matthew Weinberg
This shift causes the agent to "free-fall" through their