Publications

Yurong Chen, Yu He, Michael I. Jordan, Fan Yao (2026). How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics.
Working paper.
Oral presentation at Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML, 2026.
Highlight at the Symposium on Foundations of Responsible Computing (FORC), 2026.

Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu (2025). Single-Agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning.
ICLR, 2025.

Haruka Kiyohara, Fan Yao, Sarah Dean (2025). Policy Design for Two-sided Platforms with Participation Dynamics.
ICML, 2025.

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu (2024). Human vs Generative AI in Content Creation Competition: Symbiosis or Conflict?.
ICML, 2024.
Oral presentation at Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML.

Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang (2024). User Welfare Optimization in Recommender Systems with Competing Content Creators.
KDD, 2024.
Long-term experiment on Instagram Reels.

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu (2023). How Bad is Top- Recommendation under Competing Content Creators?.
ICML, 2023, Oral.

Jibang Wu, Haifeng Xu, Fan Yao (2022). Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms.
COLT, 2022.
R&R under Journal of Machine Learning Research.

Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao (2021). PAC-Learning for Strategic Classification.
ICML, 2021, Oral.
Full version in Journal of Machine Learning Research.