David C. Parkes and Rakesh V. Vohra. 2019. Algorithmic and Economic Perspectives on Fairness.
Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, and Milind Tambe. 2019. Artificial Intelligence for Social Good.
Christos Dimitrakakis, Yang Liu, David C. Parkes, and Goran Radanovic. 2019. “Bayesian Fairness.” In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI).
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.
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.
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.
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.
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.
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.
Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, and David C. Parkes. 2019. “Learning Representations by Humans, for Humans.” In NeurIPS Workshop on Human-Centric Machine Learning.
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.
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-Francois 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.
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.
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.
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.