Working Papers

  1. Information Design With Large Language Models [paper]
  2. Learning to Acquire Resources in Competition [paper]

Peer-Reviewed Publications

  1. Learning to Play Multi-Follower Bayesian Stackelberg Games [paper]
    • Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes
    • ICLR 2026: International Conference on Learning Representations
  2. Strategic Hypothesis Testing [paper]
    • Safwan Hossain, Yatong Chen, Yiling Chen
    • NeurIPS 2025: Neural Information Processing Society (Spotlight - Top 3% of Submission)
  3. Strategic Classification With Externalities [paper]
  4. Computing Voting Rules with Elicited Incomplete Votes [paper]
  5. Equilibrium of Data Markets with Externality [paper]
    • Safwan Hossain, Yiling Chen
    • ICML 2024: International Conference on Machine Learning
  6. Multi-Sender Persuasion - A Computational Perspective [paper]
  7. A Persuasive Approach to Combating Misinformation [paper]
  8. Social Environment Design [paper]
  9. Proportionally Fair Online Allocation of Public Goods with Predictions [paper]
  10. Fair Algorithms for Multi-Agent Multi-Armed Bandits. [paper]
  11. The Effect of Strategic Noise on Linear Regression [paper]
    • Safwan Hossain, Nisarg Shah
    • AAMAS 2020: International Conference on Autonomous Agents and Multiagent Systems
  12. Designing Fairly Fair Classifiers via Economic Fairness Notions [paper]
  13. The Surprising Power of Hiding Information in Facility Location [paper]
    • Safwan Hossain, Evi Micha, Nisarg Shah
    • AAAI 2020: Association for the Advancement of Artificial Intelligence

Workshops

  1. Analyzing Text Specific vs Blackbox Fairness Algorithms in Multimodal Clinical NLP [paper]
  2. Generative Adversarial Networks for Text Using word2vec Intermediaries [paper]
  3. JacNet: Learning Functions with Structured Jacobians [paper]
    • Safwan Hossain, Jonathan Lorraine
    • ICML 2019 Workshop: Invertible Neural Nets and Normalizing Flows Workshop

Manuscripts