Itamar Reinman — accepted AI-conference papers

2026

The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)

Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz

AAAI 2026technical

We study a game-theoretic information retrieval model in which strategic publishers aim to maximize their chances of being ranked first by the search engine while maintaining the integrity of their original documents. We show that the commonly used Probability Ranking Principle (PRP) ranking scheme

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2025

On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions

Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz

ICLR 2025poster

Publishers who publish their content on the web act strategically, in a behavior that can be modeled within the online learning framework. Regret, a central concept in machine learning, serves as a canonical measure for assessing the performance of learning agents within this framework. We prove th…

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