2017

Paul Duetting, Felix A. Fischer, and David C. Parkes. 2019. “Expressiveness and Robustness of First-Price Position Auctions.” Mathematics of Operations Research , 44, 1, Pp. 196-211. Download

Eric Balkanski, Nicole Immorlica, and Yaron Singer. 2017. “The Importance of Communities for Learning to Influence.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2017. Download

Robert Chen, Brendan Lucier, Vasilis Syrgkanis, and Yaron Singer. 2017. “Robust Optimization for Non-Convex Objectives.” In Proceedings of the Conference on Neural Information Processing Systems (NIPS) 2017. Download

Reshef Meir, Hongyao Ma, and Valentin Robu. 2017. “Contract Design for Energy Demand Response.” In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17. Download

Boi Faltings and Goran Radanovic. 2017. Game Theory for Data Science: Eliciting Truthful Information. Morgan & Claypool Publishers.

Lily Hu and Yiling Chen. 2017. “Fairness at Equilibrium in the Labor Market.” In Workshop on Fairness, Accountability, and Transparency in Machine Learning. (FAT/ML 2017). Download

Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, Sebastien Lahaie, Jeffrey Shneidman, and David C. Parkes. 2017. “ICE: An Expressive Iterative Combinatorial Exchange.” In Handbook of Spectrum Auction Design, 39: Pp. 828-873. Cambidge University Press.

Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Economic Design through Deep Learning.” In Proc. of the NPS Workshop on "Learning in the Presence of Strategic Behavior." Long Beach, CA. Download

Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Fair Experimentation.” In Conference on Digital Experimentation (CODE).

Rediet Abebe, Jon M. Kleinberg, and David C. Parkes. 2017. “Fair Division via Social Comparison.” In Proc. 16th Conf. on Autonomous Agents and Multiagent Systems (AAMAS'17), Pp. 281-289. Download

Christos Dimitrakakis, David C. Parkes, Goran Radanovic, and Paul Tylkin. 2017. “Multi-View Decision Processes: The Helper-AI Problem.” In Proc. 30th Advances in Neural Information Processing Systems (NIPS'17), Pp. 5449-5458. Download

Ming Yin. 2017. “Peeking into the On-Demand Economy: Crowd Behavior and Incentive Design”. Download

Yang Liu. 2017. “Fair Optimal Stopping Policy for Matching with Mediator.” In Proc. of the Conference on Uncertainty in Artificial Intelligence (UAI-2017). Download

Liu Yang and Yiling Chen. 2017. “Machine Learning aided Peer Prediction.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017). Download

Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Calibrated fairness in Bandits.” In Proceedings of the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (Fat/ML 2017). Download