Noah Golowich, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Multi-Facility Location Mechanism Design.” In Proceedings of the 17th International Joint Conference on Artificial Intelligence (IJCAI 2018), Pp. 261-267.

Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2018. “Deep Learning for Revenue-Optimal Auctions with Budgets.” In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems. (AAMAS 2018), Pp. 354-362.

Rediet Abebe, Jon M. Kleinberg, David C. Parkes, and Charalampos Tsourakakis. 2018. “Opinion Dynamics with Varying Susceptibility to Persuasion.” In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18), Pp. 1089-1098.

Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, and Edoardo M. Airoldi. 2018. “Optimizing Cluster-based Randomized Experiments under Monotonicity.” In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ’18), Pp. 2090-2099.

Reshef Meir and David C. Parkes. 2018. “Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents.” In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’18), Pp. 86-94.

Hongyao Ma, Reshef Meir, and David C. Parkes. 2018. “Social Choice with Non Quasi-linear Utilities.” arXiv preprint arXiv:1804.02268.

David C. Parkes. 2018. “Technical perspective: Moving spectrum.” Communications of the ACM, 61, 1, Pp. 96.