Parkes, David C.

2020
Debmalya Mandal, Goran Radanovic, and David C. Parkes. 2020. “The Effectiveness of Peer Prediction in Long-Term Forecasting.” In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020) .
Nir Rosenfeld, Aron Szanto, and David C. Parkes. 2020. “From How to What: Inferring Rumor Content from Patterns of Information Propagation.” In Proceedings of the 29th World Wide Web Conference (WWW 2020).
Malvika Rao, David F. Bacon, David C. Parkes, and Margo Seltzer. 2020. “Incentivizing Deep Fixes in Software Economies.” IEEE Transactions on Software Engineering, 46, 1, Pp. 51-70. Download
Arpit Agarwal, Debmalya Mandal, David C. Parkes, and Nisarg Shah. 2020. “Peer Prediction with Heterogeneous Users.” Transactions on Economics and Computation.
Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, and Barbara Grosz. 2020. “Shaping for Enhanced Goal Recognition of Partially-Informed Agents.” In Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI-2020).
2019
Berk Ustun, Yang Liu, and David C. Parkes. 2019. “Fairness without Harm: Decoupled Classifiers with Preference Guarantees.” In Proceedings of the 36th International Conference on Machine Learning (ICML'19), Pp. 6373-6382. Download
Paul Duetting, Zhe Feng, Harikrishna Narasimham, David C. Parkes, and Sai S. Ravindranath. 2019. “Optimal Auctions through Deep Learning.” In Proceedings of the 36th International Conference on Machine Learning (ICML'19), Pp. 1706-1715. Download
Hongyao Ma, Fei Fang, and David C. Parkes. 2019. “Spatio-Temporal Pricing for Ridesharing Platforms.” In Proceedings of the 20th ACM Conference on Economics and Computation (EC'19), Pp. 583. Download
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
Haris Aziz, Hau Chan, Barton E. Lee, and David C. Parkes. 2019. “The Capacity Constrained Facility Location Problem.” In Proceedings of the 15th Int. Conf. on Web and Internet Economics, (WINE 2019), Pp. 336. 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), Pp. 422-430. Download
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
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, and Joshua B. Tenenbaum. 2019. “Finding Friend and Foe in Multi-Agent Games.” In Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), Pp. 1249-1259. 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) , Pp. 99-106. Download
Zhe Feng, David C. Parkes, and Haifeng Xu. 2019. “The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation”. Download
Goran Radanovic, Rati Devidze, David Parkes, and Adish Singla. 2019. “Learning to Collaborate in Markov Decision Processes.” In Proceedings of the 36th International Conference on Machine Learning (ICML'19), Pp. 5261-5270. Download
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, and Michael Wellman. 2019. “Machine behaviour.” Nature, 568, Pp. 477-486. Download
Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, and David C. Parkes. 2019. “Ridesharing with Driver Location Preferences.” In Proceedings of the 28th Int. Joint Conf. on Artificial Intelligence, (IJCAI 2019), Pp. 557-564. 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

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