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.

Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah. 2017. “Peer Prediction with Heterogeneous Users.” In Proceedings of the 18th ACM Conference on Economics and Computation (EC-2017).

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.

David C. Parkes, Paul Tylkin, and Lirong Xia. 2017. “Thwarting Vote Buying Through Decoy Ballots.” In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017).

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 NIPS Workshop on "Learning in the Presence of Strategic Behavior." Long Beach, CA.

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).

David Parkes, Paul Tylkin, and Lirong Xia. 2017. “Thwarting Vote Buying Through Decoy Ballots.” In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Hongyao Ma, David C. Parkes, and Valentin Robu. 2017. “Generalizing Demand Response Through Reward Bidding.” In Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS).