Parkes, David C.

2019
Christos Dimitrakakis, Yang Liu, David C. Parkes, and Goran Radanovic. 2019. “Bayesian Fairness.” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI). Download
Hongyao Ma, Reshef Meir, David C. Parkes, and James Zou. 2019. “Contingent Payment Mechanisms for Resource Utilization.” In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS). Download
Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David Parkes, and Yang Liu. 2019. “How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness.” In Proceedings of AI Ethics and Society (AIES) . Download
2018
David C. Parkes. 1/2018. “Technical perspective: Moving spectrum.” Communications of the ACM, 61, 1, Pp. 96. Download
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. Download
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. Download
Paul Duetting, Felix A. Fischer, and David C. Parkes. 2018. “Expressiveness and Robustness of First-Price Position Auctions.” Mathematics of Operations Research . Download
Malvika Rao, David F. Bacon, David C. Parkes, and Margo Seltzer. 2018. “Incentivizing Deep Fixes in Software Economies.” IEEE Transactions on Software Engineering. Download
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. Download
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. Download
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. Download
Hongyao Ma, Reshef Meir, and David C. Parkes. 2018. “Social Choice with Non Quasi-linear Utilities.” arXiv preprint arXiv:1804.02268. Download
Hongyao Ma, Fei Fang, and David C. Parkes. 2018. “Spatio-Temporal Pricing for Ridesharing Platforms.” arXiv preprint arXiv:1801.04015. Download
2017
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
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
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, and David C. Parkes. 2017. “Fair Experimentation.” In Conference on Digital Experimentation (CODE).
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). 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.
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
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, and David C. Parkes. 2017. “Optimal Auctions through Deep Learning.” ArXiv e-prints. Download

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