Publications

• Computational Dynamic Mechanism Design.
  Sadie Zhao, Amy Greenwald, Yanchen Jiang, Denizalp Goktas, Yiling Chen.
  Advances in Neural Information Processing Systems (NeurIPS 2026).

• Learning to Persuade a Biased Receiver.
  Yuqi Pan, Sadie Zhao, Milind Tambe, Yiling Chen.
  Advances in Neural Information Processing Systems (NeurIPS 2026).

• Modeling Coincident Peak Pricing in Electricity Markets: Challenges and Peak Shaving Effectiveness.
  Qian Zhang, Sadie Zhao, Lucy Diao, Conleigh Byers, Yiling Chen, Derya Cansever, Le Xie.
  IEEE Transactions on Energy Markets, Policy and Regulation.

• Infinite Horizon Markov Economies.
  Denizalp Goktas†, Sadie Zhao†, Yiling Chen, Amy Greenwald.
  International Conference on Learning Representations (ICLR 2026).

• Position: Social Environment Design Should be Further Developed for AI-based Policy-Making.
  Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen.
  International Conference on Machine Learning (ICML 2024). Position paper.

• Efficient Inverse Multiagent Learning.
  Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh.
  International Conference on Learning Representations (ICLR 2024). Spotlight.

• Tâtonnement in Homothetic Fisher Markets.
  Denizalp Goktas, Sadie Zhao, Amy Greenwald.
  ACM Conference on Economics and Computation (EC 2023).

• Fisher Markets with Social Influence.
  Sadie Zhao, Denizalp Goktas, Amy Greenwald.
  AAAI Conference on Artificial Intelligence (AAAI 2023). Oral presentation.

• Zero-Sum Stochastic Stackelberg Games.
  Denizalp Goktas, Sadie Zhao, Amy Greenwald.
  Advances in Neural Information Processing Systems (NeurIPS 2022).
  Also presented at the Reinforcement Learning and Decision Making Conference (RLDM 2022) and the ICLR 2022 Gamification and Multiagent Solutions Workshop.

• Robust No-Regret Learning in Min-Max Stackelberg Games.
  Denizalp Goktas, Sadie Zhao, Amy Greenwald.
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022).
  Also presented at the AAAI 2022 Workshop on Adversarial Machine Learning and Beyond.

• The Gopher Grounds: Testing the Link Between Structure and Function in Simple Machines.
  Anshul Kamath†, Sadie Zhao†, Nick Grisanti, George D. Montañez.
  International Conference on Agents and Artificial Intelligence (ICAART 2022).

• Generating the Gopher’s Grounds: Form, Function, Order, and Alignment.
  Sadie Zhao†, Anshul Kamath†, Nick Grisanti, George D. Montañez.
  Agents and Artificial Intelligence: ICAART 2022 Revised Selected Papers. Lecture Notes in Computer Science, vol. 13786. Springer.

Submitted Manuscripts

• Preference Optimization for Distribution-Level Objectives.
  Sadie Zhao, Sujay Bhatt, Sihan Zeng, Shubham Sharma, Saumitra Mishra, Sumitra Ganesh.
  Submitted to ICLR 2027.

• Population-Relative RLHF for LLM Output Diversity: A Bi-Level Optimization Approach.
  Sihan Zeng, Sadie Zhao, Mattie Terzolo, Hammad Jafri, Mikołaj Sacha, Andrew Rabinovich, Ayan Sinha.
  Submitted to ICLR 2027.

• When and What to Price against Model Extraction.
  Shi Feng, Tuo Zhao, Sadie Zhao, Yiling Chen.
  Submitted to ICLR 2027.

• Contextual Procurement Auctions with Bandit Learning.
  Yiling Chen†, Shi Feng†, Sadie Zhao†.
  Submitted to AAAI 2027.

Working Papers and Work in Progress

• Position: Strategic Foundation Models.
  Denizalp Goktas, Amy Greenwald, Takayuki Osogami, Roma Patel, Kevin Leyton-Brown, Grant Schoenebeck, Daphne Cornelisse, Constantinos Daskalakis, Ian Gemp, John Horton, David C. Parkes, David M. Pennock, Arjun Prakash, Sai Srivatsa Ravindranath, Max Olan Smith, Gokul Swamy, Eugene Vinitsky, Segev Wasserkrug, Michael Wellman, Jibang Wu, Haifeng Xu, Jiayao Zhang, Yichi Zhang, Sadie Zhao, Quanyan Zhu.
  Working paper.

• Multi-settlement Electricity Market with Asymmetric Information.
  Sadie Zhao, Qian Zhang, Yiling Chen.
  Work in progress.

† Equal contribution.

Notes

Coming Soon...