Xu, Haifeng

61 publications

NeurIPS 2025 Accelerated Distance-Adaptive Methods for Hölder Smooth and Convex Optimization Yijin Ren, Haifeng Xu, Qi Deng

ICML 2025 An Instrumental Value for Data Production and Its Application to Data Pricing Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu

NeurIPS 2025 Learning Personalized Ad Impact via Contextual Reinforcement Learning Under Delayed Rewards Yuwei Cheng, Zifeng Zhao, Haifeng Xu

ICLR 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu

IJCAI 2025 Mechanism Design for Large Language Models (Extended Abstract) Paul Dütting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo

UAI 2025 Robust Optimization with Diffusion Models for Green Security Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe

AAAI 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Kumar S. Vullikanti, Omer Wasim, Haifeng Xu

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

ICML 2025 Tokenized Bandit for LLM Decoding and Alignment Suho Shin, Chenghao Yang, Haifeng Xu, Mohammadtaghi Hajiaghayi

ICLR 2024 Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

ICML 2024 Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

ICLR 2024 Incentivized Truthful Communication for Federated Bandits Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang

NeurIPS 2024 Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling Wei Tang, Haifeng Xu, Ruimin Zhang, Derek Zhu

AAAI 2024 Learning in Online Principal-Agent Interactions: The Power of Menus Minbiao Han, Michael Albert, Haifeng Xu

ICMLW 2024 Mechanism Design for Large Language Models Paul Duetting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo

ICML 2024 Multi-Sender Persuasion: A Computational Perspective Safwan Hossain, Tonghan Wang, Tao Lin, Yiling Chen, David C. Parkes, Haifeng Xu

NeurIPS 2024 Strategic Linear Contextual Bandits Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

NeurIPS 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang

ICMLW 2023 Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

NeurIPS 2023 Follow-Ups Also Matter: Improving Contextual Bandits via Post-Serving Contexts Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu

ICMLW 2023 Follow-Ups Also Matter: Improving Contextual Bandits via Post-Serving Contexts Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu

ICML 2023 How Bad Is Top-$k$ Recommendation Under Competing Content Creators? Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

NeurIPS 2023 Incentivized Communication for Federated Bandits Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang

ICMLW 2023 Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu

ICMLW 2023 Learning from a Learning User for Optimal Recommendations Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

JMLR 2023 PAC-Learning for Strategic Classification Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao

NeurIPS 2023 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

ICMLW 2023 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

IJCAI 2023 The Economics of Machine Learning Haifeng Xu

NeurIPS 2022 CS-Shapley: Class-Wise Shapley Values for Data Valuation in Classification Stephanie Schoch, Haifeng Xu, Yangfeng Ji

AAAI 2022 First-Order Convex Fitting and Its Application to Economics and Optimization Quinlan Dawkins, Minbiao Han, Haifeng Xu

NeurIPS 2022 Incrementality Bidding via Reinforcement Learning Under Mixed and Delayed Rewards Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu

UAI 2022 Information Design for Multiple Independent and Self-Interested Defenders: Work Less, Pay Off More Chenghan Zhou, Andrew Spivey, Haifeng Xu, Thanh Hong Nguyen

NeurIPS 2022 Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu

ICML 2022 Learning from a Learning User for Optimal Recommendations Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

AAAI 2022 Learning the Optimal Recommendation from Explorative Users Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

COLT 2022 Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms Jibang Wu, Haifeng Xu, Fan Yao

AAAI 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

ICML 2022 Selling Data to a Machine Learner: Pricing via Costly Signaling Junjie Chen, Minming Li, Haifeng Xu

AAAI 2022 The Strange Role of Information Asymmetry in Auctions - Does More Accurate Value Estimation Benefit a Bidder? Haifeng Xu, Ruggiero Cavallo

IJCAI 2022 Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti

ICML 2022 When Are Linear Stochastic Bandits Attackable? Huazheng Wang, Haifeng Xu, Hongning Wang

AAAI 2022 When Can the Defender Effectively Deceive Attackers in Security Games? Thanh Nguyen, Haifeng Xu

NeurIPS 2021 (Almost) Free Incentivized Exploration from Decentralized Learning Agents Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen

ICML 2021 Diffusion Source Identification on Networks with Statistical Confidence Quinlan E Dawkins, Tianxi Li, Haifeng Xu

NeurIPS 2021 Least Square Calibration for Peer Reviews Sijun Tan, Jibang Wu, Xiaohui Bei, Haifeng Xu

ICML 2021 PAC-Learning for Strategic Classification Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao

NeurIPS 2021 The Limits of Optimal Pricing in the Dark Quinlan Dawkins, Minbiao Han, Haifeng Xu

NeurIPS 2020 Collapsing Bandits and Their Application to Public Health Intervention Aditya Mate, Jackson Killian, Haifeng Xu, Andrew Perrault, Milind Tambe

AAAI 2020 Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz

ICML 2020 The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation Zhe Feng, David Parkes, Haifeng Xu

AAAI 2020 To Signal or Not to Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe

IJCAI 2019 Imitative Attacker Deception in Stackelberg Security Games Thanh Nguyen, Haifeng Xu

AAAI 2018 Strategic Coordination of Human Patrollers and Mobile Sensors with Signaling for Security Games Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe

IJCAI 2017 Don't Bury Your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-Security Alerts Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter

IJCAI 2017 Maximizing Awareness About HIV in Social Networks of Homeless Youth with Limited Information Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe

IJCAI 2015 Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, Albert Xin Jiang

AAAI 2015 Exploring Information Asymmetry in Two-Stage Security Games Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe

IJCAI 2015 Security Games with Information Leakage: Modeling and Computation Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe

AAAI 2014 Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring

AAAI 2014 Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe