Haifeng Xu

The Publication Choice Problem AAAI 2026 An Instrumental Value for Data Production and its Application to Data Pricing ICML 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling ICLR 2025 Mechanism Design for Large Language Models (Extended Abstract) IJCAI 2025 Robust Optimization with Diffusion Models for Green Security UAI 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks AAAI 2025 Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning ICLR 2025 Tokenized Bandit for LLM Decoding and Alignment ICML 2025 Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation ICLR 2024 Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024 Incentivized Truthful Communication for Federated Bandits ICLR 2024 Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling NeurIPS 2024 Learning in Online Principal-Agent Interactions: The Power of Menus AAAI 2024 Multi-Sender Persuasion: A Computational Perspective ICML 2024 Strategic Linear Contextual Bandits NeurIPS 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NeurIPS 2024 Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts NeurIPS 2023 How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023 Incentivized Communication for Federated Bandits NeurIPS 2023 PAC-learning for Strategic Classification JMLR 2023 Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS 2023 The Economics of Machine Learning IJCAI 2023 CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification NeurIPS 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022 Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards NeurIPS 2022 Information design for multiple independent and self-interested defenders: Work less, pay off more UAI 2022 Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NeurIPS 2022 Learning from a Learning User for Optimal Recommendations ICML 2022 Learning the Optimal Recommendation from Explorative Users AAAI 2022 Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms COLT 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022 Selling Data To a Machine Learner: Pricing via Costly Signaling ICML 2022 The Strange Role of Information Asymmetry in Auctions—Does More Accurate Value Estimation Benefit a Bidder? AAAI 2022 Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning IJCAI 2022 When Are Linear Stochastic Bandits Attackable? ICML 2022 When Can the Defender Effectively Deceive Attackers in Security Games? AAAI 2022 (Almost) Free Incentivized Exploration from Decentralized Learning Agents NeurIPS 2021 Diffusion Source Identification on Networks with Statistical Confidence ICML 2021 Least Square Calibration for Peer Reviews NeurIPS 2021 PAC-Learning for Strategic Classification ICML 2021 The Limits of Optimal Pricing in the Dark NeurIPS 2021 Collapsing Bandits and Their Application to Public Health Intervention NeurIPS 2020 Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents AAAI 2020 The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation ICML 2020 To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability AAAI 2020 Imitative Attacker Deception in Stackelberg Security Games IJCAI 2019 Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts IJCAI 2017 Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017 Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs IJCAI 2015 Security Games with Information Leakage: Modeling and Computation IJCAI 2015