Haifeng Xu

Assistant Professor of Computer Science, Data Science · University of Chicago · University of Chicago

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Research interests

computational economics, machine learning, multi-agent systems, algorithms

Selected publications (since 2023)

[2024] Mechanism Design for Large Language Models (WWW 2024, Best Paper Award) [2024] Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? (ICML 2024) [2023] Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? (NeurIPS 2023) [2023] How Bad is Top-K Recommendation under Competing Content Creators? (ICML 2023, oral) [2024] Algorithmic Cheap Talk (EC 2024) [2024] Learning to Persuade on the Fly: Robustness Against Ignorance (Operations Research, 2024) [2023] Robust Stackelberg Equilibria (EC 2023) [2022] Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning (EC 2022) [2020] On the Tractability of Public Persuasion with No Externalities (SODA 2020) [2022] Selling Data To a Machine Learner:

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