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.