Fan Yao
Fan Yao
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Publications
Type
Conference paper
Journal article
Preprint
Date
2024
2023
2022
2021
Single-Agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
Fan Yao
,
Yuwei Cheng
,
Ermin Wei
,
Haifeng Xu
Strategic Filtering for Content Moderation: Free Speech or Free of Distortion?
Saba Ahmadi
,
Avrim Blum
,
Haifeng Xu
,
Fan Yao
Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling
Yuwei Cheng
,
Fan Yao
,
Xuefeng Liu
,
Haifeng Xu
PDF
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Source Document
Mechanism Design Through Exploration Control: Optimizing the Trade-Off Between User and Creator Engagement
Fan Yao
,
Yiming Liao
,
Jingzhou Liu
,
Shaoliang Nie
,
Qifan Wang
,
Hongning Wang
User Welfare Optimization in Recommender Systems with Competing Content Creators
Fan Yao
,
Yiming Liao
,
Mingzhe Wu
,
Chuanhao Li
,
Yan Zhu
,
James Yang
,
Jingzhou Liu
,
Qifan Wang
,
Haifeng Xu
,
Hongning Wang
PDF
Source Document
Human vs Generative AI in Content Creation Competition: Symbiosis or Conflict?
Fan Yao
,
Chuanhao Li
,
Denis Nekipelov
,
Hongning Wang
,
Haifeng Xu
PDF
Source Document
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Fan Yao
,
Chuanhao Li
,
Karthik Abinav Sankararaman
,
Yiming Liao
,
Yan Zhu
,
Qifan Wang
,
Hongning Wang
,
Haifeng Xu
PDF
Source Document
How Bad is Top- Recommendation under Competing Content Creators?
Fan Yao
,
Chuanhao Li
,
Denis Nekipelov
,
Hongning Wang
,
Haifeng Xu
PDF
Video
Source Document
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms
Jibang Wu
,
Haifeng Xu
,
Fan Yao
PDF
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Source Document
Learning from a Learning User for Optimal Recommendations
Fan Yao
,
Chuanhao Li
,
Denis Nekepalov
,
Hongning Wang
,
Haifeng Xu
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Source Document
Learning the Optimal Recommendation from Explorative Users
Fan Yao
,
Chuanhao Li
,
Denis Nekepalov
,
Hongning Wang
,
Haifeng Xu
PDF
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Source Document
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning
Fan Yao
,
Renqin Cai
,
Hongning Wang
PDF
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Source Document
PAC-Learning for Strategic Classification
Ravi Sundaram
,
Anil Vullikanti
,
Haifeng Xu
,
Fan Yao
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